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Table 4 Accuracy, sensitivity and specificity of different models in fertile window and menstruation prediction

From: Tracking of menstrual cycles and prediction of the fertile window via measurements of basal body temperature and heart rate as well as machine-learning algorithms

Cycle phase

Prediction model (physiological parameter)

Accuracy (%)

Sensitivity (%)

Specificity (%)

Fertile

Regular group

   
 

Model 1 (BBTa)

86.65

68.30

91.30

 

Model 2 (BBT a and HRb)

87.46

69.30

92.00

 

Irregular group

   
 

Model 2 (BBT a and HRb)

72.51

21.00

82.90

Menstrual

Regular group

   
 

Model 3 (BBTa)

87.80

66.10

93.10

 

Model 4 (BBTa and HRb)

89.60

70.70

94.30

 

Irregular group

   
 

Model 4 (BBTa and HRb)

75.90

36.30

84.40

  1. aBBT, basal body temperature
  2. bHR, heart rate