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Table 5 The results of different feature categories with different models

From: Automatic infection detection based on electronic medical records

Model Feature type AUC F1-score PPV Sensitivity
Random Forest Personal information (I) 0.62 0.56 0.61 0.52
  Admission notes (II) 0.83 0.81 0.86 0.77
  Vital signs (III) 0.61 0.55 0.61 0.5
  Diagnose tests (IV) 0.51 0.07 0.56 0.04
  Medical image diagnoses(V) 0.51 0.06 0.76 0.03
  I & III 0.68 0.63 0.68 0.59
  I & IV 0.63 0.57 0.61 0.53
  II & V 0.84 0.81 0.86 0.77
  II & IV & V 0.83 0.81 0.86 0.77
  I & II & V 0.83 0.81 0.86 0.77
  I & II & IV & V 0.84 0.82 0.86 0.78
  Total (I & II & III & IV & V) 0.84 0.82 0.86 0.79
Logistic Regression CV Personal information (I) 0.67 0.62 0.65 0.59
  Admission note (II) 0.87 0.85 0.85 0.86
  Vital signs (III) 0.59 0.48 0.6 0.4
  Diagnose test (IV) 0.51 0.09 0.54 0.05
  Medical image (V) 0.51 0.06 0.8 0.03
  I & III 0.68 0.65 0.66 0.64
  I & IV 0.68 0.65 0.65 0.65
  II & V 0.87 0.85 0.85 0.86
  II & IV & V 0.87 0.86 0.85 0.87
  I & II & V 0.87 0.85 0.85 0.86
  I & II & IV & V 0.87 0.85 0.85 0.86
  Total (I & II & III & IV & V) 0.87 0.86 0.86 0.87
Bernoulli NB Personal information (I) 0.58 0.58 0.53 0.65
  Admission note (II) 0.65 0.69 0.55 0.93
  Vital signs (III) 0.6 0.52 0.59 0.46
  Diagnose test (IV) 0.55 0.63 0.48 0.9
  Medical image (V) 0.51 0.06 0.71 0.03
  I & III 0.6 0.52 0.59 0.46
  I & IV 0.55 0.63 0.48 0.9
  II & V 0.66 0.7 0.56 0.93
  II & IV & V 0.67 0.71 0.57 0.93
  I & II & V 0.66 0.7 0.56 0.93
  I & II & IV & V 0.67 0.71 0.57 0.93
  Total (I & II & III & IV & V) 0.68 0.71 0.58 0.93
Gradient Boosting Classifier Personal information (I) 0.66 0.62 0.66 0.58
  Admission note (2) 0.87 0.85 0.85 0.86
  Vital signs (III) 0.65 0.6 0.63 0.58
  Diagnose test (IV) 0.51 0.09 0.59 0.05
  Medical image (V) 0.51 0.06 0.78 0.03
  I & III 0.72 0.69 0.69 0.69
  I & IV 0.67 0.63 0.65 0.62
  II & V 0.87 0.85 0.85 0.86
  II & IV & V 0.87 0.86 0.85 0.87
  I & II & V 0.87 0.86 0.86 0.86
  I & II & IV & V 0.87 0.86 0.86 0.87
  Total (I & II & III & IV & V) 0.88 0.86 0.86 0.87
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BMC Bioinformatics

ISSN: 1471-2105

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