From: Prediction of sepsis mortality in ICU patients using machine learning methods
Feature Type | Feature Name | Feature Type | Feature Name |
---|---|---|---|
Admission Information | los_icu | Demographics | Age |
Lab Results | SOFA_score | Comorbidities | diabetes_without_cc |
avg_urineoutput | diabetes_with_cc | ||
temperature_min | severe_liver_disease | ||
temperature_max | aids | ||
temperature_avg | renal_disease | ||
heart_rate_min | Medications | antibiotic_Carbapenem | |
heart_rate_max | antibiotic_Aminoglycoside | ||
heart_rate_mean | antibiotic_Glycopeptide | ||
resp_rate_min | antibiotic_Oxazolidinone | ||
resp_rate_max | antibiotic_Penicillin | ||
resp_rate_mean | antibiotic_Sulfonamide | ||
spo2_min | antibiotic_Tetracycline | ||
spo2_max | Â | ||
spo2_mean | Â | ||
hospital_expire_flag | Â |