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Table 2 Discrimination between patients with bipolar disorder (BD) (n  = 121), unaffected relatives (UR) (n  = 21) and healthy control individuals (HC) (n  = 38) based on voice features collected from smartphones, n  = 180

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) Sensitivity (SD) Specificity (SD) AUC (SD)
BD (n  = 78,731) compared with HC (n  = 20,296) Random Forest model 0.72 (0.09) 0.81 (0.07) 0.79 (0.11) 0.54 (0.20) 0.76 (0.11)
Majority vote 0.67 (0.00) 0.88 (0.06) 1.0 (0.00) 0.00 (0.00) 0.50 (0.00)
BD (n  = 78,731) compared with UR (n  = 8004) Random Forest model 0.68 (0.049) 0.81 (0.03) 0.73 (0.07) 0.28 (0.11) 0.52 (0.09)
Majority vote 0.95 (0.00) 0.95 (0.02) 1.00 (0.00) 0.00 (0.00) 0.50 (0.00)
UR (n  = 8004) compared with HC (n  = 20,296) Random Forest model 0.59 (0.13) 0.38 (0.15) 0.53 (0.21) 0.67 (0.24) 0.72 (0.12)
Majority vote 0.80 (0.00) 0.00 (0.00) 0.00 (0.00) 1.00 (0.00) 0.50 (0.00)