Decision support from local data: Creating adaptive order menus from past clinician behavior

Journal of Biomedical Informatics

Volumn 48, Issue , 2014, Pages 84-93

  Klann, Jeffrey G ^a,b,e   Szolovits, Peter ^c   Downs, Stephen M ^d,e   Schadow, Gunther ^e,f  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e REGENSTRIEF INSTITUTE   (United States)

^f Pragmatic Data LLC   (United States)

Author keywords

Bayesian analysis; Clinical Decision Support; Data mining

Indexed keywords

ASSOCIATION RULES; BAYESIAN NETWORKS; DECISION SUPPORT SYSTEMS; DIAGNOSIS; INTENSIVE CARE UNITS; COMPLEX NETWORKS; HOSPITALS;

BAYESIAN ANALYSIS; CLINICAL DECISION SUPPORT; EMERGENCY DEPARTMENTS; HEALTH INFORMATION TECHNOLOGIES; PREDICTIVE ABILITIES; RECEIVER OPERATOR CURVES; SIMULATION METHODOLOGY; TRANSITIVE ASSOCIATIONS;

DATA MINING;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; BAYESIAN LEARNING; DATA MINING; DECISION SUPPORT SYSTEM; HEALTH CARE QUALITY; HUMAN; MEDICAL INFORMATION SYSTEM; METHODOLOGY; PHYSICIAN ATTITUDE; PREDICTION; PRIORITY JOURNAL; AMBULATORY CARE; BAYES THEOREM; COMPUTER INTERFACE; COMPUTER PROGRAM; COMPUTER SIMULATION; DECISION MAKING; ELECTRONIC MEDICAL RECORD; EVIDENCE BASED MEDICINE; FEMALE; OBSTETRICS; PREGNANCY; PROBABILITY; PROCEDURES; ABDOMINAL PAIN; ASSOCIATION RULE MINING; CLINICAL DECISION SUPPORT; COMPARATIVE STUDY; CONTROLLED STUDY; EVIDENCE BASED PRACTICE; HYPERTENSION; MACHINE LEARNING; MATHEMATICAL COMPUTING; MENTAL DISEASE; PRACTICE GUIDELINE; SIMULATION; STATISTICAL PARAMETERS;

ALGORITHMS; AMBULATORY CARE; AREA UNDER CURVE; BAYES THEOREM; COMPUTER SIMULATION; DATA MINING; DECISION MAKING; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRONIC HEALTH RECORDS; EVIDENCE-BASED MEDICINE; FEMALE; HUMANS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; OBSTETRICS; PREGNANCY; PROBABILITY; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 84899489955     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.12.005     Document Type: Article

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