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Table 3 Classification within patients with bipolar disorder (n  = 100) according to patient-reported smartphone-based data on mood, activity and sleepa

From: Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states

Binary classifier

n  =  number of observations

Model type

Accuracy (SD)

F1 score (SD)

Sensitivty (SD)

Specificity (SD)

AUC (SD)

B10 (SD)b

Mood

 

 Mania (n  = 1205) versus euthymia (n  = 38,329)

Random Forest model-user independent

0.72 (0.18)

0.05 (0.03)

0.23 (0.12)

0.73 (0.19)

0.51 (0.07)

− 2.65 (0.34)

Random Forest model-user dependent

0.74 (0.16)

0.25 (0.22)

0.42 (0.22)

0.75 (0.16)

0.66 (0.11)

0.53 (3.69)

Majority vote-user independent

0.94 (0.00)

0.00 (0.00)

0.00 (0.00)

1.00 (0.00)

0.50 (0.00)

− 3.18 (1.61)

Majority vote-user dependent

0.97 (0.00)

0.08 (0.25)

0.11 (0.31)

0.89 (0.31)

0.48 (0.02)

− 3.23 (1.35)

Random model-user independent

0.49 (0.00)

0.06 (0.03)

0.49 (0.05)

0.50 (0.01)

0.50 (0.00)

− 2.82 (0.27)

Random model-user dependent

0.49 (0.00)

0.15 (0.09)

0.52 (0.03)

0.48 (0.03)

0.50 (0.00)

− 2.21 (0.59)

 Depression (n  = 5329) versus euthymia (n  = 38,329)

Random Forest model-user independent

0.63 (0.06)

0.21 (0.07)

0.40 (0.07)

0.66 (0.05)

0.55 (0.05)

− 1.82 (0.22)

Random Forest model-user dependent

0.70 (0.13)

0.40 (0.21)

0.53 (0.22)

0.70 (0.16)

0.66 (0.12)

2.78 (5.49)

Majority vote-user independent

0.89 (0.00)

0.00 (0.00)

0.00 (0.00)

1.00 (0.00)

0.50 (0.00)

− 3.78 (1.31)

Majority vote-user dependent

0.71 (0.00)

0.11 (0.28)

0.13 (0.33)

0.88 (0.33)

0.49 (0.02)

− 3.29 (0.00)

Random model-user independent

0.50 (0.00)

0.24 (0.06)

0.51 (0.01)

0.49 (0.00)

0.50 (0.00)

− 2.07 (0.16)

Random model-user dependent

0.46 (0.0)

0.31 (0.17)

0.55 (0.07)

0..44 (0.05)

0.50 (0.00)

− 1.80 (0.46)

Activity

 Increased (n  = 12,890) versus neutral (n  = 21,661)

Random Forest model-user independent

0.46 (0.08)

0.43 (0.10)

0.55 (0.07)

0.41 (0.09)

0.48 (0.07)

− 1.38 (0.20)

Random Forest model-user dependent

0.67 (0.13)

0.55 (0.25)

0.55 (0.26)

0.58 (0.24)

0.61 (0.10)

1.85 (5.92)

Majority vote-user independent

0.48 (0.00)

0.00 (0.00)

0.00 (0.00)

1.00 (0.00)

0.50 (0.00)

− 3.52 (0.00)

Majority vote-user dependent

0.57 (0.00)

0.45 (0.40)

0.56 (0.49)

0.44 (0.49)

0.49 (0.01)

− 0.02 (0.15)

Random model-user independent

0.50 (0.00)

0.45 (0.07)

0.50 (0.01)

0.49 (0.01)

0.50 (0.00)

− 1.76 (0.07)

Random model-user dependent

0.53 (0.00)

0.50 (0.13)

0.56 (0.05)

0.45 (0.05)

0.50 (0.00)

− 1.44 (0.63)

 Decreased (n  = 10,288) versus neutral (n  = 21,661)

Random Forest model-user independent

0.50 (0.03)

0.42 (0.06)

0.58 (0.04)

0.47 (0.05)

0.54 (0.02)

− 1.43 (0.42)

Random Forest model-user dependent

0.66 (0.11)

0.53 (0.18)

0.53 (0.20)

0.65 (0.21)

0.62 (0.10)

3.13 (6.40)

Majority vote-user independent

0.69 (0.00)

0.00 (0.00)

0.00 (0.00)

1.00 (0.00)

0.50 (0.00)

− 3.04 (0.00)

Majority vote-user dependent

0.71 (0.00)

0.27 (0.37)

0.35 (0.47)

0.65 (0.47)

0.49 (0.02)

− 0.02 (0.15)

Random model-user independent

0.50 (0.00)

0.41 (0.07)

0.51 (0.01)

0.49 (0.01)

0.50 (0.00)

− 1.77 (0.10)

Random modeluser dependent

0.55 (0.00)

0.45 (0.12)

0.55 (0.05)

0.44 (0.05)

0.50 (0.00)

− 1.39 (0.66)

Sleep

 Insomnia (n  = 8474) versus normal sleep (n  = 36,140)

Random Forest model-user independent

0.70 (0.05)

0.13 (0.03)

0.16 (0.10)

0.82 (0.09)

0.48 (0.04)

− 1.49 (0.43)

Random Forest model-user dependent

0.70 (0.16)

0.33 (0.18)

0.39 (0.22)

0.73 (0.17)

0.59 (0.08)

0.28 (2.66)

Majority vote-user independent

0.85 (0.00)

0.00 (0.00)

0.00 (0.00)

1.00 (0.00)

0.50 (0.00)

− 3.13 (1.17)

Majority vote-user dependent

0.90 (0.00)

0.05 (0.17)

0.06 (0.24)

0.93 (0.24)

0.49 (0.01)

− 3.36 (1.19)

Random model-user independent

0.50 (0.00)

0.25 (0.07)

0.50 (0.01)

0.49 (0.00)

0.50 (0.00)

− 2.03 (0.13)

Random model-user dependent

0.48 (0.00)

0.32 (0.13)

0.55 (0.05)

0.44 (0.04)

0.50 (0.00)

− 1.77 (0.48)

A broader definition of mania

 Combined increased mood, activity and decreased sleep

  Combined increased mood, activity and decreased sleep (n  = 471) versus rest (n  = 43,243)

Random Forest model-user independent

0.77 (0.10)

0.03 (0.02)

0.29 (0.17)

0.77 (0.11)

0.58 (0.06)

− 1.68 (0.28)

Random Forest model-user dependent

0.77 (0.15)

0.17 (0.16)

0.41 (0.21)

0.78 (0.16)

0.67 (0.11)

2.15 (6.02)

Majority vote-user independent

0.98 (0.00)

0.00 (0.00)

0.00 (0.00)

1.00 (0.00)

0.50 (0.00)

− 3.44 (0.00)

Majority vote-user dependent

0.99 (0.00)

0.00 (0.00)

0.00 (0.00)

1.00 (0.00)

0.48 (0.02)

− 3.43 (1.30)

Random model-user independent

0.49 (0.00)

0.13 (0.05)

0.50 (0.00)

0.49 (0.00)

0.50 (0.00)

− 2.39 (0.18)

Random model-user dependent

0.46 (0.00)

0.46 (0.18)

0.56 (0.02)

0.44 (0.04)

0.50 (0.00)

− 1.78 (0.24)

  1. The number of observations is the recorded samples before any resampling or cross-validation partitioning
  2. aEuthymia was defined as a mood score of − 0.5, 0, 0.5. Depression was defined as a mood score  <  − 0.5, and mania was defined as a mood score  > 0.5. Increased activity was defined as a score  > 0, and decreased activity was defined as a score  < 0. Insomnia was defined as total sleep duration  < 360 min. A broader definition of mania was made by combining increased mood, increased activity and decreased sleep
  3. bBayesian inference framework