Data mining a diabetic data warehouse

Artificial Intelligence in Medicine

Volumn 26, Issue 1-2, 2002, Pages 37-54

  Breault, Joseph L ^a,b   Goodall, Colin R ^b,c   Fos, Peter J ^b,d  

^a OCHSNER CLINIC FOUNDATION   (United States)

^b TULANE UNIVERSITY   (United States)

^c AT AND T LABS RESEARCH   (United States)

^d UNIVERSITY OF NEVADA   (United States)

Author keywords

Data mining; Data mining software CART; Diabetes

Indexed keywords

DATA MINING; DATA REDUCTION; DATA WAREHOUSES; DATABASE SYSTEMS; DISEASES;

CLASSIFICATION;

ARTIFICIAL INTELLIGENCE;

HEMOGLOBIN A1C;

AGE; ANALYTICAL PARAMETERS; ARTICLE; CARDIOVASCULAR DISEASE; COMORBIDITY; CONTROLLED STUDY; DATA ANALYSIS; DIABETES MELLITUS; DYSLIPIDEMIA; EMERGENCY WARD; GENDER; GLUCOSE BLOOD LEVEL; HUMAN; HYPERTENSION; KIDNEY FAILURE; MEDICAL INFORMATICS; PREDICTION; PRIORITY JOURNAL; RETINOPATHY; UNITED STATES;

ADULT; AGE FACTORS; AGED; COMORBIDITY; DATABASES, FACTUAL; DIABETES MELLITUS; FEMALE; HUMANS; HYPERGLYCEMIA; HYPOGLYCEMIA; INFORMATION STORAGE AND RETRIEVAL; MALE; MIDDLE AGED; REGISTRIES; SOFTWARE;

EID: 0036753856     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(02)00051-9     Document Type: Article

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