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Table 5 Confusion matrix of algorithm classification vs. actual diagnosis

From: Using heart rate profiles during sleep as a biomarker of depression

 

Actual Diagnosis

 

Depression

Control

Algorithm

  

Total

 

 Depression

72a

20b

87

PPV: 78.3%

 Control

15c

67d

87

FOR: 18.3%

Total

82

92

174

 
 

Sensitivity: 82.8%

FPR: 23.0%

 

FNR: 17.2%

Specificity: 77.0%

  1. aTrue positives: Individuals with depression who were correctly classified bFalse positives: Healthy controls who were incorrectly classified as depressedcFalse negatives: Individuals with depression who were incorrectly classified as healthy controls dTrue negatives: Healthy controls who were correctly classified
  2. PPV Positive Predictive Value, FOR False Omission Rate, FNR False Negative Rate, False Positive Rate