Using data mining techniques to explore physicians' therapeutic decisions when clinical guidelines do not provide recommendations: Methods and example for type 2 diabetes

BMC Medical Informatics and Decision Making

Volumn 9, Issue 1, 2009, Pages

  Toussi, Massoud ^a   Lamy, Jean Baptiste ^a   Le Toumelin, Philippe ^b   Venot, Alain ^a,b  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b UNIVERSITÉ PARIS 13   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALPHA GLUCOSIDASE INHIBITOR; BIGUANIDE DERIVATIVE; GLIBENCLAMIDE; INSULIN; ISOPHANE INSULIN; METFORMIN; SULFONYLUREA; ANTIDIABETIC AGENT; GLYCOSYLATED HEMOGLOBIN; HEMOGLOBIN A1C PROTEIN, HUMAN;

ARTICLE; BEDTIME DOSAGE; CLINICAL DECISION MAKING; DATA MINING; DIET THERAPY; FRANCE; HUMAN; INSULIN TREATMENT; KINESIOTHERAPY; KNOWLEDGE BASE; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MEDICAL RECORD; MONOTHERAPY; NON INSULIN DEPENDENT DIABETES MELLITUS; PHYSICIAN; PRACTICE GUIDELINE; PRESCRIPTION; ALGORITHM; ARTIFICIAL INTELLIGENCE; BLOOD; COMPUTER PROGRAM; DECISION SUPPORT SYSTEM; DECISION TREE; DRUG COMBINATION; EVIDENCE BASED MEDICINE; MULTIMODALITY CANCER THERAPY; RETROSPECTIVE STUDY; STATISTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMBINED MODALITY THERAPY; DECISION SUPPORT TECHNIQUES; DECISION TREES; DIABETES MELLITUS, TYPE 2; DRUG THERAPY, COMBINATION; EVIDENCE-BASED MEDICINE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; PRACTICE GUIDELINES AS TOPIC; RETROSPECTIVE STUDIES; SOFTWARE;

EID: 67651162322     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-9-28     Document Type: Article

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