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Table 2 Statistical quantitative description of the category features

From: Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

 

Full sample

Dead patients

Survived patients

Category feature

#

%

#

%

#

%

Anaemia (0: false)

170

56.86

50

52.08

120

59.11

Anaemia (1: true)

129

43.14

46

47.92

3

40.89

High blood pressure (0: false)

194

64.88

57

59.38

137

67.49

High blood pressure (1: true)

105

35.12

39

40.62

66

32.51

Diabetes (0: false)

174

58.19

56

58.33

118

58.13

Diabetes (1: true)

125

41.81

40

41.67

85

41.87

Sex (0: woman)

105

35.12

34

35.42

71

34.98

Sex (1: man)

194

64.88

62

64.58

132

65.02

Smoking (0: false)

203

67.89

66

68.75

137

67.49

Smoking (1: true)

96

32.11

30

31.25

66

32.51

  1. #: number of patients. %: percentage of patients. Full sample: 299 individuals. Dead patients: 96 individuals. Survived patients: 203 individuals.