AACC (American Association of Clinical Chemistry). Direct-to-consumer laboratory testing. 2015. https://www.aacc.org/~/media/files/position-statements/directtoconsumerlaboratorytesting2.pdf?la=en. Accessed 8 Oct 2016.
Accenture. Accenture doctors survey 2015: healthcare IT pain and progress. 2015. https://www.accenture.com/us-en/insight-accenture-doctors-survey-2015-healthcare-it-pain-progress. Accessed 8 Oct 2016.
Acquisti A, Varian HR. Conditioning prices on purchase history. Mark Sci. 2005;24:367–81.
Article
Google Scholar
Acquisti A, Brandimarte L, Loewenstein G. Privacy and human behavior in the age of information. Science. 2015;347:509–14.
Article
CAS
PubMed
Google Scholar
Aetna. Aetna brings new iTriage employer technology to mid-sized businesses. 2013. https://news.aetna.com/news-releases/aetna-brings-new-itriage-employer-technology-to-mid-sized-businesses/. Accessed 8 Oct 2016.
Andreassen HK, Bujnowska-Fedak MM, Chronaki CE, Dumitru RC, Pudule I, Santana S, et al. European citizens’ use of E-health services: a study of seven countries. BMC Public Health. 2007;7:1.
Article
Google Scholar
Anthes E. Mental health: there’s an app for that. Nature. 2016;532:20–3.
Article
CAS
PubMed
Google Scholar
Aranki D, Kurillo G, Yan P, Liebovitz DM, Bajcsy R. Continuous, real-time, tele-monitoring of patients with chronic heart-failure: lessons learned from a pilot study. In: Proceedings of the 9th international conference on body area networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2014. p. 135–41.
Armontrout J, Torous J, Fisher M, Drogin E, Gutheil T. Mobile mental health: navigating new rules and regulations for digital tools. Curr Psychiatry Rep. 2016;18:91.
Article
PubMed
Google Scholar
Arthur WB. What is technology and how does it evolve? New York Academy of Sciences Magazine. 2010. http://www.nyas.org/Publications/Detail.aspx?cid=f0cd90f8-495e-45db-9fa8-1aba4d0a8154. Accessed 8 Oct 2016.
Asif S. Here’s the difference between Samsung and Sony camera sensors on the Galaxy S6 and S6 edge. 2015. http://www.sammobile.com/2015/05/05/heres-the-difference-between-samsung-and-sony-camera-sensors-on-the-galaxy-s6-and-s6-edge/. Accessed 8 Oct 2016.
Asif S. Like the Galaxy S6, Samsung is using two different camera sensors for the Galaxy S7 duo. 2016. http://www.sammobile.com/2016/03/09/like-the-galaxy-s6-samsung-is-using-two-different-camera-sensors-for-the-galaxy-s7-duo/. Accessed 8 Oct 2016.
Baig MM, Gholamhosseini H. Smart health monitoring systems: an overview of design and modeling. J Med Syst. 2013;37:9898.
Article
PubMed
Google Scholar
Banaee H, Ahmed MU, Loutfi A. Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges. Sensors. 2013;13:17472–500.
Article
CAS
PubMed
PubMed Central
Google Scholar
Barak A, Gluck-Ofri O. Degree and reciprocity of self-disclosure in online forums. CyberPsychol Behav. 2007;10:407–17.
Article
PubMed
Google Scholar
Barratt MJ, Ferris JA, Winstock AR. Use of Silk Road, the online drug marketplace, in the United Kingdom, Australia and the United States. Addiction. 2014;109:774–83.
Article
PubMed
Google Scholar
Barron E. Google wants to take your temperature and count your heartbeat. 2016. http://www.eastbaytimes.com/2016/04/20/google-wants-to-take-your-temperature-and-count-your-heartbeat/. Accessed 8 Oct 2016.
Batty M, Tripathi A, Kroll A, Wu C, Moore D, Stehno C, et al. Predictive modeling for life insurance. Deloitte Consulting LLP. 2010. https://www.soa.org/files/pdf/research-pred-mod-life-batty.pdf. Accessed 8 Oct 2016.
Bauer M, Glenn T, Conell J, Rasgon N, Marsh W, Sagduyu K, et al. Common use of dietary supplements for bipolar disorder: a naturalistic, self-reported study. Int J Bipolar Disord. 2015;3:1–7.
Article
CAS
Google Scholar
Bauer R, Conell J, Glenn T, Alda M, Ardau R, Baune BT, et al. Internet use by patients with bipolar disorder: results from an international multisite survey. Psychiatry Res. 2016;242:388–94.
Article
PubMed
Google Scholar
Benkler Y. Degrees of freedom, dimensions of power. Daedalus. 2016;145:18–32.
Article
Google Scholar
Ben-Zeev D, Wang R, Abdullah S, Brian R, Scherer EA, Mistler LA, et al. Mobile behavioral sensing for outpatients and inpatients with schizophrenia. Psychiatr Serv. 2016;67:558–61.
Article
PubMed
Google Scholar
Bert F, Galis V, Passi S, Rosaria Gualano M, Siliquini R. Differences existing between USA and Europe in opioids purchase on Internet: an interpretative review. J Subst Use. 2015;20:200–7.
Article
Google Scholar
Biobank. About UK Biobank. http://www.ukbiobank.ac.uk/about-biobank-uk/. Accessed 8 Oct 2016.
Borzekowski DL, Schenk S, Wilson JL, Peebles R. e-Ana and e-Mia: a content analysis of pro-eating disorder Web sites. Am J Public Health. 2010;100:1526–34.
Article
PubMed
PubMed Central
Google Scholar
Brachman S. IBM seeks patent on software that incorporates human emotion. IP Watchdog. 2014. http://www.ipwatchdog.com/2014/03/17/ibm-seeks-patent-on-software-that-incorporates-human-emotion/id=48535/. Accessed 8 Oct 2016.
Brandimarte L, Acquisti A, Loewenstein G. Misplaced confidences privacy and the control paradox. Soc Psychol Personal Sci. 2013;4:340–7.
Article
Google Scholar
Brynjolfsson E, Hitt LM. Beyond the productivity paradox. Commun ACM. 1998;41:49–55.
Article
Google Scholar
Büchi M, Just N, Latzer M. Modeling the second-level digital divide: a five-country study of social differences in Internet use. New Media Soc. 2015;9:1461444815604154.
Google Scholar
Burns MN, Begale M, Duffecy J, Gergle D, Karr CJ, Giangrande E, et al. Harnessing context sensing to develop a mobile intervention for depression. J Med Internet Res. 2011;13:e55.
Article
PubMed
PubMed Central
Google Scholar
Caine K, Hanania R. Patients want granular privacy control over health information in electronic medical records. Am Med Inform Assoc. 2013;20:7–15.
Article
Google Scholar
Cairns A. Op-Ed: privacy concerns jeopardise healthcare innovation. Digit Journal. 2015. http://www.digitaljournal.com/life/health/op-ed-privacy-concerns-jeopardise-healthcare-innovation/article/452434. Accessed 8 Oct 2016.
California HealthCare Foundation. Consumers and health information technology: a national survey. 2010. http://www.chcf.org/publications/2010/04/consumers-and-health-information-technology-a-national-survey. Accessed 8 Oct 2016.
Calvo RA, D’Mello S. Affect detection: an interdisciplinary review of models, methods, and their applications. IEEE Trans Affect Comput. 2010;1:18–37.
Article
Google Scholar
Cambria E. Affective computing and sentiment analysis. IEEE Intell Syst. 2016;31:102–7.
Article
Google Scholar
CDCR (California Department of Corrections and Rehabilitation). Electronic monitoring. 2016. http://www.cdcr.ca.gov/parole/electronic-monitoring.html. Accessed 8 Oct 2016.
Chancellor S, Lin Z, Goodman EL, Zerwas S, De Choudhury M. Quantifying and predicting mental illness severity in online pro-eating disorder communities. In: Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing. ACM; 2016. p. 1171–84.
Choi NG, DiNitto DM. The digital divide among low-income homebound older adults: internet use patterns, eHealth literacy, and attitudes toward computer/Internet use. J Med Internet Res. 2013;15:e93.
Article
PubMed
PubMed Central
Google Scholar
Christovich MM. Why should we care what Fitbit shares?: a proposed statutory solution to protect sensitive personal fitness information. Hastings Commun Entertain Law J. 2016;38:91.
Google Scholar
Chung JE. Patient–provider discussion of online health information: results from the 2007 Health Information National Trends Survey (HINTS). J Health Commun. 2013;18:627–48.
Article
PubMed
Google Scholar
Claycomb M, Black AC, Wilber C, Brocke S, Lazar CM, Rosen MI. Financial victimization of adults with severe mental illness. Psychiatr Serv. 2013;64:918–20.
Article
PubMed
PubMed Central
Google Scholar
Claypoole T. Privacy and social media. ABA Business Law Today. 2014. http://www.americanbar.org/publications/blt/2014/01/03a_claypoole.html. Accessed 8 Oct 2016.
CMU (Carnegie Mellon University). Carnegie Mellon report finds Internet privacy tools are confusing, ineffective for most people. 2011. http://www.cmu.edu/news/stories/archives/2011/october/oct31_privacytools.html. Accessed 8 Oct 2016.
Conell J, Bauer R, Glenn T, Alda M, Ardau R, Baune BT, et al. Online information seeking by patients with bipolar disorder: results from an international multisite survey. Int J Bipolar Disord. 2016;4:17.
Article
PubMed
PubMed Central
CAS
Google Scholar
Conti G, Sobiesk E. Malicious interface design: exploiting the user. In: Proceedings of the 19th international conference on World Wide Web. ACM; 2010. p. 271–80.
Coughlin JF, D’Ambrosio LA, Reimer B, Pratt MR. Older adult perceptions of smart home technologies: Implications for research, policy & market innovations in healthcare. In: 2007 29th annual international conference of the IEEE engineering in medicine and biology society. IEEE; 2007. p. 1810–15.
Crangle CE, Kart JB. A questions-based investigation of consumer mental-health information. PeerJ. 2015;3:e867.
Article
PubMed
PubMed Central
Google Scholar
Cruz-Jesus F, Vicente MR, Bacao F, Oliveira T. The education-related digital divide: an analysis for the EU-28. Comput Human Behav. 2016;56:72–82.
Article
Google Scholar
Darcy AM, Louie AK, Roberts LW. Machine learning and the profession of medicine. JAMA. 2016;315:551–2.
Article
CAS
PubMed
Google Scholar
De Choudhury M, Kiciman E, Dredze M, Coppersmith G, Kumar M. Discovering shifts to suicidal ideation from mental health content in social media. In: Proceedings of the 2016 CHI conference on human factors in computing systems. ACM; 2016. p. 2098–110.
De Freitas J, Falls BA, Haque OS, Bursztajn HJ. Vulnerabilities to misinformation in online pharmaceutical marketing. J R Soc Med. 2013;106:184–9.
Article
PubMed
PubMed Central
Google Scholar
Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res. 2013;15:e86.
Article
PubMed
PubMed Central
Google Scholar
Dinakar S, Andhale P, Rege M. Sentiment analysis of social network content. In: 2015 international conference on information reuse and integration (IRI). IEEE; 2015. p. 189–92.
Dixon P, Gellman B. The scoring of America: how secret consumer scores threaten your privacy and your future. World Privacy Forum. 2014. https://www.worldprivacyforum.org/2014/04/wpf-report-the-scoring-of-america-how-secret-consumer-scores-threaten-your-privacy-and-your-future/. Accessed 8 Oct 2016.
Donker T, Petrie K, Proudfoot J, Clarke J, Birch MR, Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review. J Med Internet Res. 2013;15:e247.
Article
PubMed
PubMed Central
Google Scholar
Downs JS, Holbrook M, Cranor LF. Behavioral response to phishing risk. In: Proceedings of the anti-phishing working groups 2nd annual eCrime researchers summit. ACM; 2007. p. 37–44.
Duke University. Duke health measures. Duke anxiety-depression scale (Duke-AD). 2016. https://cfm.duke.edu/research/duke-health-measures. Accessed 8 Oct 2016.
Dünnebeil S, Sunyaev A, Blohm I, Leimeister JM, Krcmar H. Determinants of physicians’ technology acceptance for e-health in ambulatory care. Int J Med Inform. 2012;81:746–60.
Article
PubMed
Google Scholar
Ebeling M. ‘Get with the program!’: pharmaceutical marketing, symptom checklists and self-diagnosis. Soc Sci Med. 2011;73:825–32.
Article
PubMed
Google Scholar
Ebling MR. Can cognitive assistants disappear? IEEE Pervasive Comput. 2016;15:4–6.
Article
Google Scholar
El Ayadi M, Kamel MS, Karray F. Survey on speech emotion recognition: features, classification schemes, and databases. Pattern Recognit. 2011;44:572–87.
Article
Google Scholar
Englehardt S, Narayanan A. Online tracking: A 1-million-site measurement and analysis. 2016. Princeton Web Census. https://webtransparency.cs.princeton.edu/webcensus/index.html#data. Accessed 8 Oct 2016.
eTRIKS. People ‘don’t trust’ NHS with personal data, survey says. 2016. https://www.etriks.org/people-dont-trust-nhs-with-personal-data-survey-says/. Accessed 18 Oct 2016.
European Parliament News. Q&A: new EU rules on data protection put the citizen back in the driving seat. 2016. http://www.europarl.europa.eu/news/en/news-room/20160413BKG22980/QA-new-EU-rules-on-data-protection-put-the-citizen-back-in-the-driving-seat. Accessed 8 Oct 2016.
EU-US Privacy Shield Fact Sheet. European Commission. 2016. http://ec.europa.eu/justice/data-protection/files/factsheets/factsheet_eu-us_privacy_shield_en.pdf. Accessed 8 Oct 2016.
Evans D. Thanks to IoE, the next decade looks positively ‘nutty’. Cisco Blog. 2013.http://blogs.cisco.com/digital/thanks-to-ioe-the-next-decade-looks-positively-nutty. Accessed 8 Oct 2016.
Executive Office of the President. Big data: seizing opportunities, preserving values. 2014. https://www.whitehouse.gov/sites/default/files/docs/big_data_privacy_report_may_1_2014.pdf. Accessed 8 Oct 2016.
Executive Office of the President. Big data: a report on algorithmic systems, opportunity, and civil rights. 2016. https://www.whitehouse.gov/sites/default/files/microsites/ostp/2016_0504_data_discrimination.pdf. Accessed 8 Oct 2016.
Fair Warning. How privacy considerations drive patient decisions and impact patient care outcomes. 2011. http://www.fairwarning.com/us-patient-privacy-survey/. Accessed 8 Oct 2016.
Fair Warning. UK Patient privacy survey. 2012. http://www.fairwarning.com/uk-patient-privacy-survey/. Accessed 8 Oct 2016.
Fairfield JA, Engel C. Privacy as a public good. Duke Law J. 2015;65:385–569.
Google Scholar
Faurholt-Jepsen M, Vinberg M, Frost M, Debel S, Margrethe Christensen E, Bardram JE, et al. Behavioral activities collected through smartphones and the association with illness activity in bipolar disorder. Int J Methods Psychiatr Res. 2016;25:309–23.
Article
PubMed
Google Scholar
Fertik M. The rich see a different internet than the poor. Scientific American. 2013.http://www.scientificamerican.com/article/rich-see-different-internet-than-the-poor/. Accessed 8 Oct 2016.
Florin T. iPhone 7 and iPhone 7 Plus may both offer OIS, LG and Sony could share camera module orders. 2016. http://www.phonearena.com/news/iPhone-7-and-iPhone-7-Plus-may-both-offer-OIS-LG-and-Sony-could-share-camera-module-orders_id81361. Accessed 8 Oct 2016.
Flynn HA, Marcus SM, Kerber K, Alessi N. Patients’ concerns about and perceptions of electronic psychiatric records. Psychiatr Serv. 2003;54:1539–41.
Article
PubMed
Google Scholar
Fogg BJ, Nass C. How users reciprocate to computers: an experiment that demonstrates behavior change. In: CHI’97 extended abstracts on human factors in computing systems. ACM; 1997. p. 331–32.
Fogg BJ, Soohoo C, Danielson DR, Marable L, Stanford J, Tauber ER. How do users evaluate the credibility of web sites?: a study with over 2,500 participants. In: Proceedings of the 2003 conference on designing for user experiences. ACM; 2003 p. 1–15.
Friedland SI. I spy: the new self-cybersurveillance and the “Internet of Things”. Wash Lee Law Rev. 2015;72:1459–501.
Google Scholar
Friemel TN. The digital divide has grown old: determinants of a digital divide among seniors. New Media Soc. 2016;18:313–31.
Article
Google Scholar
FTC (Federal Trade Commission). Data brokers: a call for transparency and accountability. 2014. https://www.ftc.gov/reports/data-brokers-call-transparency-accountability-report-federal-trade-commission-may-2014. Accessed 8 Oct 2016.
FTC (Federal Trade Commission). Big data: a tool for inclusion or exclusion? Understanding the issues (FTC Report). 2016a. https://www.ftc.gov/reports/big-data-tool-inclusion-or-exclusion-understanding-issues-ftc-report. Accessed 8 Oct 2016.
FTC. Lumosity to pay $2 million to settle FTC deceptive advertising charges for its “brain training” program. 2016b. https://www.ftc.gov/news-events/press-releases/2016/01/lumosity-pay-2-million-settle-ftc-deceptive-advertising-charges. Accessed 8 Oct 2016.
GAO. HHS needs to strengthen security and privacy guidance and oversight. 2016. http://www.gao.gov/products/GAO-16-771. Accessed 8 Oct 2016.
GAO (Government Accountability Office). Information resellers: consumer privacy framework needs to reflect changes in technology and the marketplace. 2013. http://www.gao.gov/products/GAO-13-663. Accessed 8 Oct 2016.
Gellert GA, Ramirez R, Webster SL. The rise of the medical scribe industry: implications for the advancement of electronic health records. JAMA. 2015;313:1315–6.
Article
CAS
PubMed
Google Scholar
Ghodse H. ‘Uppers’ keep going up. Br J Psychiatry. 2007;191:279–81.
Article
PubMed
Google Scholar
Giles DC, Newbold J. Self-and other-diagnosis in user-led mental health online communities. Qual Health Res. 2011;21:419–28.
Article
PubMed
Google Scholar
Gillespie L. Jobs for medical scribes are rising rapidly but standards lag. Kaiser Health News. 2015. http://khn.org/news/jobs-for-medical-scribes-are-rising-rapidly-but-standards-lag/. Accessed 8 Oct 2016.
Glenn T, Monteith S. New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet. Curr Psychiatry Rep. 2014;16:523.
Article
PubMed
Google Scholar
Goldfarb A, Tucker CE. Online advertising, behavioral targeting, and privacy. Commun ACM. 2011;54:25–7.
Article
Google Scholar
Goldfarb A, Tucker C. Privacy and innovation. In: Lerner J, Stern S, editors. Innovation policy and the economy, vol. 12. Chicago: University of Chicago Press; 2012. p. 65–89.
Google Scholar
Gonzales A. The contemporary US digital divide: from initial access to technology maintenance. Inf Commun Soc. 2016;19:234–48.
Article
Google Scholar
Goode L. Fitbit hit with class-action suit over inaccurate heart rate monitoring. The Verge. 2016. http://mobihealthnews.com/content/judge-denies-fitbits-motion-dismiss-sleep-tracking-class-action-suit. Accessed 8 Oct 2016.
Google. Google analytics help. Overview of content experiments. 2016a. https://support.google.com/analytics/answer/1745147?hl=en. Accessed 8 Oct 2016.
Google. This year’s founders’ letter. 2016b. https://googleblog.blogspot.com/2016/04/this-years-founders-letter.html. Accessed 8 Oct 2016.
Gov.UK. New plans to expand the use of digital technology across the NHS. UK Department of Health. 2016. https://www.gov.uk/government/news/new-plans-to-expand-the-use-of-digital-technology-across-the-nhs. Accessed 8 Oct 2016.
Gralla P. Google CEO Schmidt: we can know everything about you. Computerworld. 2010. http://www.computerworld.com/article/2467658/internet/google-ceo-schmidt–we-can-know-everything-about-you.html. Accessed 8 Oct 2016.
Greene JA. Do-it-yourself medical devices—technology and empowerment in American health care. N Engl J Med. 2016;374:305–8.
Article
PubMed
Google Scholar
Grohol JM, Slimowicz J, Granda R. The quality of mental health information commonly searched for on the Internet. Cyberpsychol Behav Soc Netw. 2014;17:216–21.
Article
PubMed
Google Scholar
Gross R, Acquisti A. Information revelation and privacy in online social networks. In: Proceedings of the 2005 ACM workshop on privacy in the electronic society. ACM; 2005. p. 71–80.
Gruenerbl A, Osmani V, Bahle G, Carrasco JC, Oehler S, Mayora O, et al. Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients. In: Proceedings of the 5th augmented human international conference. ACM; 2014. p. 38.
Gustafson K. Smartwatch or fitness tracker? Why age, sex matter. CNBC. 2015. http://www.cnbc.com/2015/01/07/smartwatch-or-fitness-tracker-why-age-sex-matter.html. Accessed 8 Oct 2016.
Hargittai E. Digital na (t) ives? Variation in internet skills and uses among members of the “net generation”. Sociol Inq. 2010;80:92–113.
Article
Google Scholar
Harris T. How technology hijacks people’s minds — from a magician and Google’s design ethicist. 2016. https://medium.com/swlh/how-technology-hijacks-peoples-minds-from-a-magician-and-google-s-design-ethicist-56d62ef5edf3#.xxqnu5166. Accessed 8 Oct 2016.
Hern A. Mark Zuckerberg tapes over his webcam. Should you? The Guardian. 2016. https://www.theguardian.com/technology/2016/jun/22/mark-zuckerberg-tape-webcam-microphone-facebook. Accessed 8 Oct 2016.
Hilbert M. Technological information inequality as an incessantly moving target: the redistribution of information and communication capacities between 1986 and 2010. J Assoc Inf Sci Technol. 2014;65:821–35.
Article
Google Scholar
Hilbert M. The bad news is that the digital access divide is here to stay: domestically installed bandwidths among 172 countries for 1986–2014. Telecomm Policy. 2016;40:567–81.
Article
Google Scholar
Hoofnagle CJ, King J, Li S, Turow J. How different are young adults from older adults when it comes to information privacy attitudes and policies? 2010. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1589864. Accessed 8 Oct 2016.
Huckvale K, Prieto JT, Tilney M, Benghozi PJ, Car J. Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment. BMC Med. 2015;13:214.
Article
PubMed
PubMed Central
Google Scholar
Huguet A, Rao S, McGrath PJ, Wozney L, Wheaton M, Conrod J, et al. A systematic review of cognitive behavioral therapy and behavioral activation apps for depression. PLoS ONE. 2016;11:e0154248.
Article
PubMed
PubMed Central
CAS
Google Scholar
IBM. IBM Watson health announces plans to acquire Truven Health Analytics for $2.6b, extending its leadership in value-based care solutions. 2016. https://www-03.ibm.com/press/us/en/pressrelease/49132.wss. Accessed 8 Oct 2016.
ICILS (The International Computer and Information Literacy Study). Main findings and implications for education policies in Europe. European commission. 2014. http://ec.europa.eu/education/library/study/2014/ec-icils_en.pdf. Accessed 8 Oct 2016.
IDC. The digital universe of opportunities: rich data and the increasing value of the Internet of Things. 2014. http://www.emc.com/leadership/digital-universe/index.htm. Accessed 8 Oct 2016.
IMS. Patient adoption of mHealth. 2015. http://www.imshealth.com/en/thought-leadership/ims-institute/reports/patient-adoption-of-mhealth. Accessed 8 Oct 2016.
ITU (International Telecommunications Union). Measuring the information society 2014. 2014. http://www.itu.int/en/ITU-D/Statistics/Pages/publications/mis2014.aspx. Accessed 8 Oct 2016.
Ivanitskaya L, O’Boyle I, Casey AM. Health information literacy and competencies of information age students: results from the interactive online research readiness self-assessment (RRSA). J Med Internet Res. 2006;8(2):e6.
Article
PubMed
PubMed Central
Google Scholar
Jain AK, Duin RP, Mao J. Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell. 2000;22:4–37.
Article
Google Scholar
Jerritta S, Murugappan M, Nagarajan R, Wan K. Physiological signals based human emotion recognition: a review. In: Signal processing and its applications (CSPA), 2011 IEEE 7th international colloquium. IEEE; 2011. p. 410–15.
Johnson N. Privacy no longer a social norm, says Facebook founder. The Guardian. 2010. https://www.theguardian.com/technology/2010/jan/11/facebook-privacy. Accessed 8 Oct 2016.
Jones SS, Heaton PS, Rudin RS, Schneider EC. Unraveling the IT productivity paradox–lessons for health care. N Engl J Med. 2012;366:2243–5.
Article
CAS
PubMed
Google Scholar
Kane JM, Perlis RH, DiCarlo LA, Au-Yeung K, Duong J, Petrides G. First experience with a wireless system incorporating physiologic assessments and direct confirmation of digital tablet ingestions in ambulatory patients with schizophrenia or bipolar disorder. J Clin Psychiatry. 2013;74:e533–40.
Article
PubMed
Google Scholar
Karam ZN, Provost EM, Singh S, Montgomery J, Archer C, Harrington G, et al. Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech. In: 2014 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE; 2014. p. 4858–62.
Karasouli E, Adams A. Assessing the evidence for e-resources for mental health self-management: a systematic literature review. JMIR Ment Health. 2014;1:e3.
Article
PubMed
PubMed Central
Google Scholar
Katz R, Mesfin T, Barr K. Lessons from a community-based mHealth diabetes self-management program: “it’s not just about the cell phone”. J Health Commun. 2012;17(Suppl 1):67–72.
Article
PubMed
Google Scholar
Kerr I, Earle J. Prediction, preemption, presumption: how big data threatens big picture privacy. Stanf Law Rev Online. 2013;66:65.
Google Scholar
Kerr LK, Kerr LD. Screening tools for depression in primary care. Beck depression inventory. West J Med. 2001;175:349–52.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kim KK, Joseph JG, Ohno-Machado L. Comparison of consumers’ views on electronic data sharing for healthcare and research. J Am Med Inform Assoc. 2015;22:821–30.
Article
PubMed
PubMed Central
Google Scholar
Klee A, Stacy M, Rosenheck R, Harkness L, Tsai J. Interest in technology-based therapies hampered by access: a survey of veterans with serious mental illnesses. Psychiatr Rehabil J. 2016;39:173–9.
Article
PubMed
Google Scholar
Kleinman J. Facebook wants to turn your face into emoji. TechnoBuffalo. 2016. http://www.technobuffalo.com/2016/05/18/facebook-patent-emoji-face-photo-reaction/. Accessed 8 Oct 2016.
Kleinsmith A, Bianchi-Berthouze N. Affective body expression perception and recognition: a survey. IEEE Trans Affect Comput. 2013;4:15–33.
Article
Google Scholar
Kosinski M, Stillwell D, Graepel T. Private traits and attributes are predictable from digital records of human behavior. Proc Natl Acad Sci USA. 2013;110:5802–5.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kotz D, Gunter CA, Kumar S, Weiner JP. Privacy and security in mobile health: a research agenda. Computer. 2016;49:22–30.
Article
PubMed
PubMed Central
Google Scholar
Kuehn BM. More than one-third of US individuals use the Internet to self-diagnose. JAMA. 2013;309:756–7.
Article
CAS
PubMed
Google Scholar
Lardinois F. Microsoft CEO Satya Nadella on how AI will transform his company. 2016. https://techcrunch.com/2016/09/26/microsoft-ceo-satya-nadella-on-how-ai-will-transform-his-company/. Accessed 8 Oct 2016.
Lazer D, Kennedy R, King G, Vespignani A. Big data. The parable of Google Flu: traps in big data analysis. Science. 2014;343:1203–5.
Article
CAS
PubMed
Google Scholar
Leigh S, Flatt S. App-based psychological interventions: friend or foe? Evid Based Ment Health. 2015;18:97–9.
Article
PubMed
Google Scholar
Leontiadis N, Moore T, Christin N. Pick your poison: pricing and inventories at unlicensed online pharmacies. In Proceedings of the fourteenth ACM conference on electronic commerce. ACM; 2013. p. 621–38.
Libert T. Privacy implications of health information seeking on the web. Commun ACM. 2015;58:68–77.
Article
Google Scholar
LiKamWa R, Liu Y, Lane ND, Zhong L. MoodScope: building a mood sensor from smartphone usage patterns. In: Proceeding of the 11th annual international conference on mobile systems, applications, and services. ACM; 2013. p. 389–402.
Liu B. Sentiment analysis and subjectivity. In: Indurkhya N, Damerau FJ, editors. Handbook of natural language processing. Boca Raton: CRC Press; 2010. p. 627–66.
Google Scholar
Lubhy T. Typical American family earned $53,657 last year. CNN Money. 2015. http://money.cnn.com/2015/09/16/news/economy/census-poverty-income/. Accessed 8 Oct 2016.
Luo W, Najdawi M. Trust-building measures: a review of consumer health portals. Commun ACM. 2004;47:108–13.
Article
Google Scholar
Lupton D. The digitally engaged patient: self-monitoring and self-care in the digital health era. Soc Theory Health. 2013;11:256–70.
Article
Google Scholar
Lupton D, Jutel A. ‘It’s like having a physician in your pocket!’A critical analysis of self-diagnosis smartphone apps. Soc Sci Med. 2015;133:128–35.
Article
PubMed
Google Scholar
Luxton DD, June JD, Fairall JM. Social media and suicide: a public health perspective. Am J Public Health. 2012;102(Suppl 2):S195–200.
Article
PubMed
PubMed Central
Google Scholar
Marketsandmarkets. Emotion detection and recognition market by technology (bio-sensors, nlp, machine learning, and others), software tools (facial expression, voice recognition and others), services, application areas, end users, and regions—global forecast to 2020. 2016. http://www.marketsandmarkets.com/Market-Reports/emotion-detection-recognition-market-23376176.html. Accessed 8 Oct 2016.
Martin KE. Ethical issues in the big data industry. MIS Q Exec. 2015;14:2.
Google Scholar
Mattioli D. On Orbitz, Mac users steered to pricier hotels. Wall Street Journal. 2012. http://www.wsj.com/articles/SB10001424052702304458604577488822667325882. Accessed 8 Oct 2016.
Matwin S. Q&A: Dr. Stan Matwin, Dalhousie University. Faculty of Computer Science News. 2013. http://www.dal.ca/faculty/computerscience/news-events/news/2013/01/25/q_a__dr__stan_matwin__tier_1_canada_research_chair.html. Accessed 8 Oct 2016.
Mayhorn CB, Murphy-Hill E, Zielinska OA, Welk AK. The social engineering behind phishing. The Next Wave. 2015. https://www.nsa.gov/resources/everyone/digital-media-center/publications/the-next-wave/assets/files/TNW-21-1.pdf. Accessed 8 Oct 2016.
McDonald AM, Cranor LF. Cost of reading privacy policies. ISJLP. 2008;4:543.
Google Scholar
McDonald CJ, Callaghan FM, Weissman A, Goodwin RM, Mundkur M, Kuhn T. Use of internist’s free time by ambulatory care electronic medical record systems. JAMA Intern Med. 2014;174:1860–3.
Article
PubMed
Google Scholar
McKinsie Global Institute. Big data: the next frontier for innovation, competition, and productivity. 2011. http://www.mckinsey.com/business-functions/business-technology/our-insights/big-data-the-next-frontier-for-innovation. Accessed 8 Oct 2016.
McPherson R, Shokri R, Shmatikov V. Defeating image obfuscation with deep learning. 2016. https://arxiv.org/abs/1609.00408. Accessed 8 Oct 2016.
Meltzer LJ, Hiruma LS, Avis K, Montgomery-Downs H, Valentin J. Comparison of a commercial accelerometer with polysomnography and actigraphy in children and adolescents. Sleep. 2015;38:1323–30.
Article
PubMed
PubMed Central
Google Scholar
Meng J, Zhang J, Zhao H. Overview of the speech recognition technology. In: 2012 Fourth international conference on computational and information sciences (ICCIS). IEEE; 2012. p. 199–202.
Miller N. Analysis of user messages to MedlinePlus.gov. J Med Libr Assoc. 2007;95:81–3.
PubMed
PubMed Central
Google Scholar
Miller CJ, McInnes DK, Stolzmann K, Bauer MS. Interest in use of technology for healthcare among veterans receiving treatment for mental health. Telemed J e-Health. 2016;22:847–54.
Article
PubMed
Google Scholar
Mitra S, Acharya T. Gesture recognition: a survey. IEEE Trans Syst Man Cybern C Appl Rev. 2007;37:311–24.
Article
Google Scholar
Mol A. Living with diabetes: care beyond choice and control. Lancet. 2009;373:1756–7.
Article
PubMed
Google Scholar
Monteith S, Glenn T. Automated decision-making and big data: concerns for people with mental illness. Curr Psychiatry Rep. 2016;18:112.
Article
PubMed
Google Scholar
Monteith S, Glenn T, Bauer M. Searching the internet for health information about bipolar disorder: some cautionary issues. Int J Bipolar Disord. 2013;1:22.
Article
PubMed
PubMed Central
Google Scholar
Monteith S, Glenn T, Geddes J, Whybrow PC, Bauer M. Big data for bipolar disorder. Int J Bipolar Disord. 2016a;4:1.
Article
Google Scholar
Monteith S, Glenn T, Bauer R, Conell J, Bauer M. Availability of prescription drugs for bipolar disorder at online pharmacies. J Affect Disord. 2016b;193:59–65.
Article
PubMed
Google Scholar
Mostashari F. Statement on HIT. HHS.gov. 2013. http://www.hhs.gov/asl/testify/2013/07/t20130717b.html. Accessed 8 Oct 2016.
Nadkarni PM, Ohno-Machado L, Chapman WW. Natural language processing: an introduction. J Am Med Inform Assoc. 2011;18:544–51.
Article
PubMed
PubMed Central
Google Scholar
Neus A. The quality of online registration information. In: Proceedings of the 2000 international conference on information quality. MIT Information Quality (MITIQ) Program. http://mitiq.mit.edu/iciqpapers.aspx?iciqyear=2000. Accessed 8 Oct 2016.
NHS Tools. Self assessments. 2016. http://www.nhs.uk/Tools/Pages/Toolslibrary.aspx?Tag=Self+assessments. Accessed 8 Oct 2016.
Nicholas J, Larsen ME, Proudfoot J, Christensen H. Mobile apps for bipolar disorder: a systematic review of features and content quality. J Med Internet Res. 2015;17:e198.
Article
PubMed
PubMed Central
Google Scholar
Niemeijer AR, Frederiks BJ, Depla MF, Legemaate J, Eefsting JA, Hertogh CM. The ideal application of surveillance technology in residential care for people with dementia. J Med Ethics. 2011;37:303–10.
Article
PubMed
Google Scholar
NLM. What is direct-to-consumer genetic testing? Aug 8, 2016. https://ghr.nlm.nih.gov/primer/testing/directtoconsumer. Accessed 8 Oct 2016.
Noyes K. Scott McNealy on privacy: you still don’t have any. PC World. 2015. http://www.pcworld.com/article/2941052/scott-mcnealy-on-privacy-you-still-dont-have-any.html. Accessed 8 Oct 2016.
O’Connor A. New York attorney general targets supplements at major retailers. New York Times. 2015. http://well.blogs.nytimes.com/2015/02/03/new-york-attorney-general-targets-supplements-at-major-retailers/?_r=0. Accessed 8 Oct 2016.
OIG (US Office of the Inspector General). Dietary supplements: structure/function claims fail to meet federal requirements. 2012 Report (OEI-01-11-00210). https://oig.hhs.gov/oei/reports/oei-01-11-00210.asp. Accessed 8 Oct 2016.
Orizio G, Merla A, Schulz PJ, Gelatti U. Quality of online pharmacies and websites selling prescription drugs: a systematic review. J Med Internet Res. 2011;13(3):e74.
Article
PubMed
PubMed Central
Google Scholar
Pantic M, Pentland A, Nijholt A, Huang TS. Human computing and machine understanding of human behavior: a survey. In: Huang TS, Nijholt A, Pantic M, Pentland A, editors. Artificial intelligence for human computing. Berlin Heidelberg: Springer; 2007. p. 47–71.
Chapter
Google Scholar
Pariser E. The filter bubble: How the new personalized web is changing what we read and how we think. New York: Penguin Group (USA); 2011.
Google Scholar
Pasquale FA. Restoring transparency to automated authority. 2011. http://digitalcommons.law.umaryland.edu/fac_pubs/1353/. Accessed 8 Oct 2016.
Pasquale F. The black box society. The secret algorithms that control money and information. Cambridge: Harvard University Press; 2015.
Book
Google Scholar
Payne HE, Lister C, West JH, Bernhardt JM. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR mHealth uHealth. 2015;3:e20.
Article
PubMed
PubMed Central
Google Scholar
PCAST (President’s Council of Advisors on Science and Technology). Big data and privacy: a technological perspective. 2014. http://www.whitehouse.gov/sites/default/files/microsites/ostp/PCAST/pcast_big_data_and_privacy_-_may_2014.pdf. Accessed 8 Oct 2016.
Pentland A. Reinventing society in the wake of big data. Edge. 2012. https://www.edge.org/conversation/alex_sandy_pentland-reinventing-society-in-the-wake-of-big-data. Accessed 8 Oct 2016.
Pescosolido BA. The public stigma of mental illness what do we think; what do we know; what can we prove? J Health Soc Behav. 2013;54:1–21.
Article
PubMed
PubMed Central
Google Scholar
Pew Research. HealthFactSheet. 2013. http://www.pewinternet.org/fact-sheets/health-fact-sheet/. Accessed 8 Oct 2016.
PMI (Precision Medicine Initiative). Cohort program working group report. 2015. https://www.nih.gov/sites/default/files/research-training/initiatives/pmi/pmi-working-group-report-20150917-2.pdf. Accessed 8 Oct 2016.
Powles J. DeepMind’s data deals raise some serious questions. Financial Times. 2016. https://www.ft.com/content/ddd1478e-b70d-11e6-961e-a1acd97f622d. Accessed 12 Dec 2016.
Puentes J, Montagner J, Lecornu L, Lähteenmäki J. Quality analysis of sensors data for personal health records on mobile devices. In: Bali R, Troshani I, Goldberg S, Wickramasinghe N, editors. Pervasive health knowledge management. New York: Springer; 2013. p. 103–33.
Chapter
Google Scholar
Rana R, Hume M, Reilly J, Jurdak R, Soar J. Opportunistic and context-aware affect sensing on smartphones. IEEE Pervasive Comput. 2016;15:60–9.
Article
Google Scholar
Reavley NJ, Jorm AF. The quality of mental disorder information websites: a review. Patient Educ Couns. 2011;85:e16–25.
Article
PubMed
Google Scholar
Research 2 Guidance. mHealth App Developer Economics 2016. 2016. http://research2guidance.com/product/mhealth-app-developer-economics-2016/. Accessed 8 Oct 2016.
Resnik P, Armstrong W, Claudino L, Nguyen T, Nguyen VA, Boyd-Graber J. Beyond LDA: exploring supervised topic modeling for depression-related language in Twitter. NAACL HLT 2015. (North American Chapter of the Association for Computational Linguistics—Human Language Technologies 2015). http://anthology.aclweb.org/W/W15/W15-12.pdf#page=111. Accessed 8 Oct 2016.
Robillard JM, Illes J, Arcand M, Beattie BL, Hayden S, Lawrence P, et al. Scientific and ethical features of English-language online tests for Alzheimer’s disease. Alzheimers Dement (Amst). 2015;1:281–8.
Google Scholar
Robins D, Holmes J, Stansbury M. Consumer health information on the web: the relationship of visual design and perceptions of credibility. J Assoc Inf Sci Technol. 2010;61:13–29.
Article
Google Scholar
Robinson D, Yu H, Rieke A. Civil rights, big data, and our algorithmic future. 2014. The Leadership Conference. 2014. http://www.civilrights.org/monitor/january-2015/11-protecting-civil-rights-in-an.html. Accessed 8 Oct 2016.
Rosenberg E. The business of Google. Investopedia. 2016. http://www.investopedia.com/articles/investing/020515/business-google.asp. Accessed 8 Oct 2016.
Rosenblat A, Kneese T, Boyd D. Networked employment discrimination. 2014. http://ssrn.com/abstract=2543507. Accessed 8 Oct 2016.
Ruoff A. Privacy laws stifling medical innovation, lawmakers say. Bloomberg Legal. 2016. http://www.bna.com/privacy-laws-stifling-n57982068908/. Accessed 8 Oct 2016.
Ryan A, Wilson S. Internet healthcare: do self-diagnosis sites do more harm than good? Expert Opin Drug Saf. 2008;7:227–9.
Article
PubMed
Google Scholar
Saeb S, Zhang M, Karr CJ, Schueller SM, Corden ME, Kording KP, et al. Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study. J Med Internet Res. 2015;17:e175.
Article
PubMed
PubMed Central
Google Scholar
Saint N. Google CEO: “We know where you are. We know where you’ve been. We can more or less know what you’re thinking about.” 2010. BusinessInsider.com. http://www.businessinsider.com/eric-schmidt-we-know-where-you-are-we-know-where-youve-been-we-can-more-or-less-know-what-youre-thinking-about-2010-10. Accessed 8 Oct 2016.
Sariyanidi E, Gunes H, Cavallaro A. Automatic analysis of facial affect: a survey of registration, representation, and recognition. IEEE Trans Pattern Anal Mach Intell. 2015;37:1113–33.
Article
PubMed
Google Scholar
Sarma S. I helped invent the Internet of Things. Here’s why I’m worried about how secure it is. Politico. 2015. http://www.politico.com/agenda/story/2015/06/internet-of-things-privacy-risks-security-000096. Accessed 8 Oct 2016.
Sarpatwari A, Gagne JJ. Balancing benefits and harms: privacy protection policies. Pharmacoepidemiol Drug Saf. 2016;25:969–71.
Article
PubMed
Google Scholar
Savage N. When computers stand in the schoolhouse door. Commun ACM. 2016;59:19–21.
Article
Google Scholar
Schmitz A. Secret consumer scores and segmentations: separating consumer ‘haves’ from ‘have-nots’. Michigan State Law Review. 2014:1411. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2617502. Accessed 8 Oct 2016.
Schneier B. The Internet of Things will turn large-scale hacks into real world disasters. Motherboard. 2016. https://motherboard.vice.com/read/the-internet-of-things-will-cause-the-first-ever-large-scale-internet-disaster. Accessed 8 Oct 2016.
Schüll ND. Data for life: wearable technology and the design of self-care. BioSocieties. 2016;11:317–33.
Article
Google Scholar
Schwartz PH, Caine K, Alpert SA, Meslin EM, Carroll AE, Tierney WM. Patient preferences in controlling access to their electronic health records: a prospective cohort study in primary care. J Gen Intern Med. 2015;30:25–30.
Article
Google Scholar
Selwyn N. The digital native-myth and reality. Aslib Proc. 2009;61:364–79.
Article
Google Scholar
Semigran HL, Linder JA, Gidengil C, Mehrotra A. Evaluation of symptom checkers for self diagnosis and triage: audit study. BMJ. 2015;351:h3480.
Article
PubMed
PubMed Central
Google Scholar
Shekhter S. Every step you take, they’ll be watching you: the legal and practical implications of lifetime GPS monitoring of sex offenders. Hastings Const Law Q. 2010;38:1085.
Google Scholar
Shen N, Levitan MJ, Johnson A, Bender JL, Hamilton-Page M, Jadad AA, et al. Finding a depression app: a review and content analysis of the depression app marketplace. JMIR Mhealth Uhealth. 2015;3:e16.
Article
PubMed
PubMed Central
Google Scholar
Sheng S, Holbrook M, Kumaraguru P, Cranor LF, Downs J. Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions. In: Proceedings of ACM CHI 2010 conference on human factors in computing systems. ACM; 2010. P. 373–82.
Siau K, Shen Z. Building customer trust in mobile commerce. Commun ACM. 2003;46:91–4.
Article
Google Scholar
Slabodkin G. IBM CEO: Watson health is ‘our moonshot’ in healthcare. Information Management. 2015. http://www.information-management.com/news/big-data-analytics/IBM-Watson-Health-Analytics-Cloud-CEO-Statement-10026815-1.html. Accessed 8 Oct 2016.
Snell E. Patient data breach fear hinders health data sharing. HealthITSecurity. 2017.
http://healthitsecurity.com/news/patient-data-breach-fear-hinders-health-data-sharing. Accessed 21 Jan 2017.
Stark M, Fins JJ. Engineering medical decisions. Camb Q Healthc Ethics. 2013;22:373–81.
Article
PubMed
Google Scholar
Storni C. Design challenges for ubiquitous and personal computing in chronic disease care and patient empowerment: a case study rethinking diabetes self-monitoring. Pers Ubiquitous Comput. 2014;18:1277–90.
Article
Google Scholar
Sun FT, Kuo C, Cheng HT, Buthpitiya S, Collins P, Griss M. Activity-aware mental stress detection using physiological sensors. In: Gris M, Yang G, editors. Mobile computing, applications, and services. Berlin: Springer; 2010. p. 211–30.
Google Scholar
Sutton T. Artificial intelligence is your health advisor. Designmind. 2016. https://designmind.frogdesign.com/2016/05/artificial-intelligence-is-your-health-advisor/. Accessed 8 Oct 2016.
Sweeney L. Discrimination in online ad delivery. Queue. 2013;11:10.
Article
Google Scholar
Tamir DI, Mitchell JP. Disclosing information about the self is intrinsically rewarding. Proc Natl Acad Sci USA. 2012;109:8038–43.
Article
CAS
PubMed
PubMed Central
Google Scholar
Tene O, Polonetsky J. A theory of creepy: technology, privacy and shifting social norms. Yale J Law Technol. 2013;16:59.
Google Scholar
Topol EJ, Steinhubl SR, Torkamani A. Digital medical tools and sensors. JAMA. 2015;313:353–4.
Article
CAS
PubMed
PubMed Central
Google Scholar
Turow J, King J, Hoofnagle C, Bleakley A, Hennessy M. Americans reject tailored advertising and three activities that enable it. 2009. http://ssrn.com/abstract=1478214. Accessed 8 Oct 2016.
UCSF (University of California San Francisco) Fresno. Resources to help families and children. Edinburgh Postnatal Depression Scale. 2013 http://www.fresno.ucsf.edu/pediatrics/resources.htm. Accessed 8 Oct 2016.
US Census. Health insurance coverage in the United States: 2015. 2016. http://www.census.gov/library/publications/2016/demo/p60-257.html. Accessed 8 Oct 2016.
USPTF (US Preventive Services Task Force). Depression Screening. 2015. http://www.uspreventiveservicestaskforce.org/Page/Document/UpdateSummaryFinal/depression-in-adults-screening. Accessed 8 Oct 2016.
VA. Check your mental health. 2016. https://www.myhealthevet.va.gov/mhv-portal-web/anonymous.portal?_nfpb=true&_pageLabel=mentalHealth. Accessed 8 Oct 2016.
Valentino-Devries J, Singer-Vine J, Soltani A. Websites vary prices, deals based on users. Wall Street Journal. 2012. http://www.wsj.com/articles/SB10001424127887323777204578189391813881534. Accessed 8 Oct 2016.
Van Der Velden M, El Emam K. “Not all my friends need to know”: a qualitative study of teenage patients, privacy, and social media. J Am Med Inform Assoc. 2013;20:16–24.
Article
PubMed
PubMed Central
Google Scholar
van Deursen AJ, Van Dijk JA. The digital divide shifts to differences in usage. New Media Soc. 2014;16:507–26.
Article
Google Scholar
Wald R, Khoshgoftaar TM, Napolitano A, Sumner C. Using Twitter content to predict psychopathy. In: 11th international conference on machine learning and applications (ICMLA). IEEE; 2012. p. 394–401.
Walker J. Data mining to recruit sick people. Wall Street Journal. 2013. http://www.wsj.com/articles/SB10001424052702303722104579240140554518458. Accessed 8 Oct 2016.
Wang R, Aung MS, Abdullah S, Brian R, Campbell AT, Choudhury T, et al. CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing. ACM; 2016. P. 886–97.
Webb T, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12(1):e4.
Article
PubMed
PubMed Central
Google Scholar
WEF (World Economic Forum). Digital transformation of industries: healthcare. 2016. http://reports.weforum.org/digital-transformation-of-industries/building-the-healthcare-system-of-the-future/. Accessed 8 Oct 2016.
WEF. Rethinking personal data: strengthening trust. 2012 https://www.weforum.org/reports/rethinking-personal-data-strengthening-trust/. Accessed 8 Oct 2016.
Whitby B. The ethical implications of non-human agency in health care. In: Proceedings of MEMCA-14: (Machine ethics in the context of medical and care agents). 2014. http://doc.gold.ac.uk/aisb50/AISB50-S17/AISB50-S17-Whitby-Paper.pdf. Accessed 8 Oct 2016.
White House. FACT SHEET: President Obama’s precision medicine initiative. 2015. https://www.whitehouse.gov/the-press-office/2015/01/30/fact-sheet-president-obama-s-precision-medicine-initiative. Accessed 8 Oct 2016.
Wigan MR, Clarke R. Big data’s big unintended consequences. Computer. 2013;46:46–53.
Article
Google Scholar
Wong A. ONC health IT buzz. Announcing the behavioral health patient empowerment challenge. 2013. https://www.healthit.gov/buzz-blog/health-innovation/announcing-behavioral-health-patient-empowerment-challenge/. Accessed 8 Oct 2016.
Wu P, Fuller C, Liu X, Lee HC, Fan B, Hoven CW, et al. Use of complementary and alternative medicine among women with depression: results of a national survey. Psychiatr Serv. 2007;58:349–56.
Article
PubMed
Google Scholar
Wurzman R, Hamilton RH, Pascual-Leone A, Fox MD. An open letter concerning do-it-yourself users of transcranial direct current stimulation. Ann Neurol. 2016;80:1–4.
Article
PubMed
Google Scholar
Xiong W, Droppo J, Huang X, Seide F, Seltzer M, Stolcke A, Yu D, Zweig G. Achieving human parity in conversational speech recognition. 2016. https://arxiv.org/abs/1610.05256.
Yulinsky C. Decisions, decisions … will ‘Big Data’ have ‘Big’ impact? Financial Times. 2012. http://www.ft.com/cms/s/0/9ee048b6-4612-11e1-9592-00144feabdc0.html. Accessed 8 Oct 2016.
Zeng Z, Pantic M, Roisman GI, Huang TS. A survey of affect recognition methods: audio, visual, and spontaneous expressions. IEEE Trans Pattern Anal Mach Intell. 2009;31:39–58.
Article
PubMed
Google Scholar
Zhao W, Chellappa R, Phillips PJ, Rosenfeld A. Face recognition: a literature survey. ACM Comput Surv (CSUR). 2003;35:399–458.
Article
Google Scholar