Early prediction of MRSA infections using electronic health records

HEALTHINF 2018 - 11th International Conference on Health Informatics, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

Volumn 5, Issue , 2018, Pages 156-167

  Hartvigsen, Thomas ^a   Sen, Cansu ^a   Brownell, Sarah ^b   Teeple, Erin ^a   Kong, Xiangnan ^a   Rundensteiner, Elke ^a  

^a WORCESTER POLYTECHNIC INSTITUTE   (United States)

^b SIMMONS COLLEGE   (United States)

Author keywords

Electronic Health Records; Healthcare associated Infections; Machine Learning; MRSA; Risk Stratification

Indexed keywords

BACTERIA; BIOMEDICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); DECISION TREES; DIAGNOSIS; FORECASTING; INTENSIVE CARE UNITS; MACHINE LEARNING; RECORDS MANAGEMENT; RISK PERCEPTION; SUPPORT VECTOR MACHINES;

CLASSIFICATION PERFORMANCE; ELECTRONIC HEALTH RECORD; ELECTRONIC HEALTH RECORD SYSTEMS; HOSPITAL ACQUIRED INFECTION; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS; RANDOM FOREST CLASSIFIER;

MEDICAL INFORMATICS;

EID: 85051698855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0006599601560167     Document Type: Conference Paper

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