Table 1 Machine learning results for each group tandem based on the P-RSF metric.

From: Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories

 

Accuracy

Sensitivity

Specificity

F-score

All PD patients vs. all HCs

Action text

72.5

80.0

65.0

72.2

Non-action text

58.8

57.5

60.0

57.7

PD-nMCI patients vs. HCs

Action text

85.0

96.7

73.3

84.2

Non-action text

48.3

41.6

55.0

41.8

PD-MCI patients vs. HCs

Action text

82.5

95.0

70.0

78.7

Non-action text

72.5

75.0

70.0

66.7

PD-nMCI vs. PD-MCI patients

Action text

69.5

75.0

65.0

67.6

Non-action text

61.5

60.0

63.3

58.7

  1. HCs healthy controls, PD Parkinson’s disease, PD-nMCI Parkinson’s disease without mild cognitive impairment, PD-MCI Parkinson’s disease with mild cognitive impairment.