Domain ontology-based feature reduction for high dimensional drug data and its application to 30-day heart failure readmission prediction

Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013

Volumn , Issue , 2013, Pages 478-484

  Lu, Sisi ^a,b   Ye, Ye ^a   Tsui, Rich ^a   Su, Howard ^a   Rexit, Ruhsary ^a,b   Wesaratchakit, Sahawut ^a   Liu, Xiaochu ^c   Hwa, Rebecca ^b  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b Learning Research and Development Ctr   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Domain Ontology; Feature Reduction; Feature Selection; Heart Failure Readmission Prediction; High Dimensional Data

Indexed keywords

DOMAIN ONTOLOGIES; EFFICIENCY AND PERFORMANCE; FEATURE REDUCTION; GREEDY STRATEGIES; HEART FAILURE; HIGH DIMENSIONAL DATA; HIGH-DIMENSIONAL DATASET; HIGH-DIMENSIONAL FEATURE SPACE;

CARDIOLOGY; FEATURE EXTRACTION; FORECASTING; LEARNING ALGORITHMS; REDUNDANCY; TREES (MATHEMATICS);

DATA REDUCTION;

EID: 84893596056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.collaboratecom.2013.254124     Document Type: Conference Paper

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