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Table 2 Statistical analysis results of train and test cohorts for numerical and categorical variables

From: Prediction of sepsis mortality in ICU patients using machine learning methods

Feature

Train

Test

P-value

Admission Information

   los_icu

6.974

6.977

0.989

Demographics

   Age

65.160

66.039

0.086

   gender_F

42.188

41.842

0.848

Lab Results

   SOFA_score

4.317

4.393

0.305

   avg_urineoutput

160.971

153.108

0.007

   temperature_min

36.663

36.632

0.478

   temperature_max

37.149

37.145

0.920

   temperature_avg

36.906

36.888

0.652

   glucose_min

110.363

111.451

0.414

   glucose_max

211.147

214.524

0.453

   glucose_average

154.669

156.739

0.332

   sodium_min

135.376

135.385

0.961

   sodium_max

141.558

141.768

0.222

   sodium_average

138.499

138.595

0.521

   heart_rate_min

70.250

69.694

0.271

   heart_rate_max

114.752

114.909

0.819

   heart_rate_mean

89.384

89.530

0.763

   sbp_min

81.941

81.595

0.489

   sbp_max

154.473

153.932

0.475

   sbp_mean

114.334

114.630

0.495

   dbp_min

41.534

41.300

0.490

   dbp_max

93.673

93.545

0.849

   dbp_mean

61.570

61.466

0.725

   resp_rate_min

11.932

11.804

0.307

   resp_rate_max

31.218

31.304

0.706

   resp_rate_mean

20.510

20.529

0.881

   spo2_min

89.180

89.023

0.586

   spo2_max

99.732

99.755

0.362

   spo2_mean

96.887

96.868

0.801

   hospital_expire_flag

28.242

30.445

0.127

Comorbidities

   diabetes_without_cc

31.641

33.880

0.133

   diabetes_with_cc

10.117

9.446

0.506

   severe_liver_disease

10.449

9.758

0.499

   aids

1.035

0.937

0.874

   renal_disease

26.738

27.244

0.741

Medications

   antibiotic_Carbapenem

15.664

14.910

0.533

   antibiotic_Aminoglycoside

7.168

7.962

0.360

   antibiotic_Glycopeptide

65.039

66.042

0.521

   antibiotic_Oxazolidinone

0.195

0.156

1.000

   antibiotic_Penicillin

0.000

0.078

0.453

   antibiotic_Sulfonamide

0.723

1.093

0.247

   antibiotic_Tetracycline

0.000

0.078

0.453