Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data

Data Mining and Knowledge Discovery

Volumn 29, Issue 4, 2015, Pages 1033-1069

  Bandyopadhyay, Sunayan ^a   Wolfson, Julian ^b   Vock, David M ^b   Vazquez Benitez, Gabriela ^d   Adomavicius, Gediminas ^c   Elidrisi, Mohamed ^a   Johnson, Paul E ^c   O’Connor, Patrick J ^d  

^a University of Minnesota   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

^d HEALTHPARTNERS INSTITUTE   (United States)

Author keywords

Bayesian networks; Electronic health data; Inverse probability of censoring weights; Medical decision support; Mining censored data; Risk prediction; Survival analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; DATA MINING; DECISION SUPPORT SYSTEMS; FORECASTING; HEALTH CARE; HEALTH RISKS; LEARNING SYSTEMS; POPULATION STATISTICS; RISK ASSESSMENT;

CENSORED DATA; ELECTRONIC HEALTH; INVERSE PROBABILITY OF CENSORING WEIGHTS; MEDICAL DECISION SUPPORTS; RISK PREDICTIONS; SURVIVAL ANALYSIS;

MEDICAL COMPUTING;

EID: 84930476972     PISSN: 13845810     EISSN: 1573756X     Source Type: Journal    
DOI: 10.1007/s10618-014-0386-6     Document Type: Article

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