Assessing association rules and decision trees on analysis of diabetes data from the DiabCare program in France

Studies in Health Technology and Informatics

Volumn 90, Issue , 2002, Pages 557-561

  Quentin Trautvetter, Julie ^a   Devos, Patrick ^a   Duhamel, Alain ^a   Beuscart, Régis ^a  

^a Faculté de Médecine Pôle Recherché   (France)

Author keywords

(MeSH) KDD; Associations Rules; Data Mining; Decision Support; Decision Trees; DiabCare; Diabetes Database; Health Care

Indexed keywords

APPLICATION PROGRAMS; ASSOCIATION RULES; CLASSIFICATION (OF INFORMATION); DATA VISUALIZATION; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; DECISION TREES; EXPERT SYSTEMS; HEALTH CARE; MEDICAL COMPUTING; SOFTWARE TESTING; TREES (MATHEMATICS);

(MESH) KDD; CLASSIFICATION TREES; COMPUTER LEARNING; DATA-MINING TOOLS; DATABASE TECHNOLOGY; DECISION SUPPORTS; DIABCARE; KNOWLEDGE DISCOVERY IN DATABASE;

DATA MINING;

ALGORITHM; ARTICLE; DECISION TREE; DIABETES MELLITUS; FEASIBILITY STUDY; FRANCE; HUMAN;

ALGORITHMS; DECISION TREES; DIABETES MELLITUS; FEASIBILITY STUDIES; FRANCE; HUMANS;

EID: 7944229667     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-934-9-557     Document Type: Conference Paper

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