A machine learning approach to improving dynamic decision making

Information Systems Research

Volumn 25, Issue 2, 2014, Pages 239-263

  Meyer, Georg ^a   Adomavicius, Gediminas ^a   Johnson, Paul E ^a   Elidrisi, Mohamed ^b   Rush, William A ^c   Sperl Hillen, Jo Ann M ^c   O'Connor, Patrick J ^c  

^a UNIVERSITY OF MINNESOTA   (United States)

^b University of Minnesota   (United States)

^c HEALTHPARTNERS INSTITUTE   (United States)

Author keywords

Data mining; Dynamic decision making; Healthcare; Machine learning; Process control; Process mining; Simulation

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DECISION MAKING; DISEASES; HEALTH CARE; ITERATIVE METHODS; LEARNING SYSTEMS; MEDICAL COMPUTING; MEDICAL INFORMATION SYSTEMS; PATIENT TREATMENT; PROCESS CONTROL;

DYNAMIC DECISION MAKING; ELECTRONIC MEDICAL RECORD SYSTEM; HEALTH-CARE MANAGEMENTS; ILL-STRUCTURED DOMAINS; MACHINE LEARNING APPROACHES; PROCESS MINING; SIMULATION; TYPE 2 DIABETES MELLITUS;

DATA MINING;

EID: 84903905269     PISSN: 10477047     EISSN: 15265536     Source Type: Journal    
DOI: 10.1287/isre.2014.0513     Document Type: Article

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