Table 3 Performance of predicting lifetime history of MDD.

From: Multimodal digital assessment of depression with actigraphy and app in Hong Kong Chinese

 

No. of subjects (no. of MDD subjects)

No. of features

F1-score

Sensitivity

Specificity

PPV

NPV

Single modality of digital features

       

Subjective happiness levela

81 (40)

1

0.73

0.83

0.59

0.66

0.77

Actigraphyb

74 (36)

17

0.71

0.78

0.61

0.65

0.74

Facial expressionb

75 (37)

5

0.69

0.86

0.37

0.57

0.74

Voiceb

69 (33)

4

0.77

0.88

0.64

0.69

0.85

NLPb

70 (34)

2

0.75

0.85

0.61

0.67

0.81

All digital modalitiesb

60 (29)

29

0.81

0.86

0.74

0.76

0.85

All digital modalities + HADS-Db

56 (26)

30

0.77

0.85

0.70

0.71

0.84

HADS-Da

76 (36)

1

0.76

0.75

0.80

0.77

0.78

  1. NLP natural language processing, HADS-D Hospital Anxiety and Depression Scale—Depression subscale.
  2. aCutpoint optimization for continuous one-dimensional feature.
  3. bArtifical Neural Networks.
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