Predicting cardiac autonomic neuropathy category for diabetic data with missing values

Computers in Biology and Medicine

Volumn 43, Issue 10, 2013, Pages 1328-1333

  Abawajy, Jemal ^a   Kelarev, Andrei ^a   Chowdhury, Morshed ^a   Stranieri, Andrew ^b   Jelinek, Herbert F ^c  

^a DEAKIN UNIVERSITY   (Australia)

^b UNIVERSITY OF BALLARAT   (Australia)

^c KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

Cardiac autonomic neuropathy; Diabetes; Ewing formula; Meta regression techniques; Missing value imputation; Regression learners

Indexed keywords

CARDIAC AUTONOMIC NEUROPATHY; EWING FORMULA; META-REGRESSION TECHNIQUES; MISSING VALUE IMPUTATION; REGRESSION LEARNERS;

AUTOCORRELATION; MEDICAL PROBLEMS; REGRESSION ANALYSIS;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ALGORITHM; ARTICLE; AUTONOMIC NEUROPATHY; CARDIOVASCULAR AUTONOMIC NEUROPATHY; CARDIOVASCULAR DISEASE; DIABETES MELLITUS; DISEASE COURSE; ELECTROCARDIOGRAM; ENTROPY; HAND GRIP; HEART RATE; HYPERPNEA; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SYSTOLIC BLOOD PRESSURE; VALSALVA MANEUVER;

CARDIAC AUTONOMIC NEUROPATHY; DIABETES; EWING FORMULA; META-REGRESSION TECHNIQUES; MISSING VALUE IMPUTATION; REGRESSION LEARNERS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CARDIOVASCULAR DISEASES; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, FACTUAL; DIABETIC CARDIOMYOPATHIES; DIABETIC NEUROPATHIES; DIAGNOSTIC TECHNIQUES, CARDIOVASCULAR; HUMANS; MEDICAL INFORMATICS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 84883615604     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.07.002     Document Type: Article

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