Identifying distinct subgroups of ICU patients: A machine learning approach

Critical Care Medicine

Volumn 45, Issue 10, 2017, Pages 1607-1615

  Vranas, Kelly C ^a,b   Jopling, Jeffrey K ^a,c   Sweeney, Timothy E ^a   Ramsey, Meghan C ^a   Milstein, Arnold S ^a   Slatore, Christopher G ^b,d   Escobar, Gabriel J ^e   Liu, Vincent X ^e  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^c STANFORD UNIVERSITY   (United States)

^d PORTLAND VA MEDICAL CENTER   (United States)

^e DIVISION OF RESEARCH   (United States)

Author keywords

clustering analysis; critical care; intensive care units; patient care management; unsupervised machine learning

Indexed keywords

ADULT; AGED; ARTICLE; CLUSTER ANALYSIS; COHORT ANALYSIS; FEMALE; HEALTH CARE DELIVERY; HEALTH CARE SYSTEM; HOSPITALIZATION; HUMAN; INTENSIVE CARE UNIT; INVASIVE PROCEDURE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; CALIFORNIA; INTENSIVE CARE; MIDDLE AGED; NEEDS ASSESSMENT;

AGED; CALIFORNIA; CLUSTER ANALYSIS; CRITICAL CARE; FEMALE; HUMANS; INTENSIVE CARE UNITS; MACHINE LEARNING; MALE; MIDDLE AGED; NEEDS ASSESSMENT;

EID: 85021057838     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000002548     Document Type: Article

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