Improving disease prediction using ICD-9 ontological features

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2011, Pages 1805-1809

  Popescu, Mihail ^a   Khalilia, Mohammad ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b University of Missouri   (United States)

Author keywords

component; disease prediction; ICD 9 similarity measure; ontological features; random forest; SVM

Indexed keywords

COMPONENT; ONTOLOGICAL FEATURES; RANDOM FOREST; SIMILARITY MEASURE; SVM;

DECISION TREES; DIAGNOSIS; FUZZY SYSTEMS; HEALTH; HEALTH INSURANCE; ONTOLOGY;

FORECASTING;

EID: 80053080261     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2011.6007410     Document Type: Conference Paper

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