An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU

Critical Care Medicine

Volumn 46, Issue 4, 2018, Pages 547-553

  Nemati, Shamim ^a   Holder, Andre ^a   Razmi, Fereshteh ^a   Stanley, Matthew D ^a   Clifford, Gari D ^a,b   Buchman, Timothy G ^a,c  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Informatics; machine learning; organ failure; prognostication; sepsis

Indexed keywords

ACCURACY; ARTICLE; BLOOD CULTURE; COHORT ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC MEDICAL RECORD; HOSPITAL MORTALITY; HUMAN; INTENSIVE CARE MEDICINE; INTENSIVE CARE UNIT; MACHINE LEARNING; MORBIDITY; MORTALITY RATE; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SEPSIS; TRAINING; VALIDATION PROCESS; AGE; AGED; BLOOD PRESSURE; CLINICAL DECISION SUPPORT SYSTEM; COMORBIDITY; CRITICAL ILLNESS; ELECTROCARDIOGRAPHY; ELECTRONIC HEALTH RECORD; FEMALE; HEART RATE; MALE; MIDDLE AGED; MORTALITY; ORGAN DYSFUNCTION SCORE; SEVERITY OF ILLNESS INDEX; SEX FACTOR; SOCIOECONOMICS; TIME FACTOR; TIME TO TREATMENT; TRENDS; UNIVERSITY HOSPITAL; VITAL SIGN;

ACADEMIC MEDICAL CENTERS; AGE FACTORS; AGED; BLOOD PRESSURE; COMORBIDITY; CRITICAL ILLNESS; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTROCARDIOGRAPHY; ELECTRONIC HEALTH RECORDS; FEMALE; HEART RATE; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; MACHINE LEARNING; MALE; MIDDLE AGED; ORGAN DYSFUNCTION SCORES; ROC CURVE; SEPSIS; SEVERITY OF ILLNESS INDEX; SEX FACTORS; SOCIOECONOMIC FACTORS; TIME FACTORS; TIME-TO-TREATMENT; VITAL SIGNS;

EID: 85063999048     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000002936     Document Type: Article

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