CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 10536 LNAI, Issue , 2017, Pages 52-63

  Sen, Cansu ^a   Hartvigsen, Thomas ^a   Rundensteiner, Elke ^a   Claypool, Kajal ^b  

^a WORCESTER POLYTECHNIC INSTITUTE   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Clostridium difficile; Electronic Health Records; Multimodal data mining; Multivariate time series classification; Risk stratification

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLOSTRIDIUM; DATA MINING; DIAGNOSIS; FORECASTING; HEALTH RISKS; HOSPITALS; LEARNING SYSTEMS; RECORDS MANAGEMENT; RISK PERCEPTION; RISKS; TIME SERIES;

CLOSTRIDIUM DIFFICILE; ELECTRONIC HEALTH RECORD; MULTI-MODAL DATA; MULTIVARIATE TIME SERIES CLASSIFICATIONS; RISK STRATIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 85040233262     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-71273-4_5     Document Type: Conference Paper

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