Empirical investigation of decision tree ensembles for monitoring cardiac complications of diabetes

International Journal of Data Warehousing and Mining

Volumn 9, Issue 4, 2013, Pages 1-18

  Kelarev, Andrei V ^a   Abawajy, Jemal ^a   Stranieri, Andrew ^b   Jelinek, Herbert F ^c,d  

^a DEAKIN UNIVERSITY   (Australia)

^b UNIVERSITY OF BALLARAT   (Australia)

^c KHALIFA UNIVERSITY   (United Arab Emirates)

^d CHARLES STURT UNIVERSITY   (Australia)

Author keywords

Cardiac autonomic neuropathy (CAN); Decision tree ensembles; Decision trees; Diabetes; Receiver operating characteristic (ROC) area

Indexed keywords

ADAPTIVE BOOSTING; GRADING; HEART; MEDICAL PROBLEMS; SENSORS;

CARDIAC AUTONOMIC NEUROPATHY (CAN); CARDIAC COMPLICATIONS; CLINICAL COMPLICATIONS; CONTINUOUS MONITORING; EFFECTIVE ALGORITHMS; EMPIRICAL INVESTIGATION; RECEIVER OPERATING CHARACTERISTICS; TREE ENSEMBLES;

DECISION TREES;

EID: 84883620001     PISSN: 15483924     EISSN: 15483932     Source Type: Journal    
DOI: 10.4018/ijdwm.2013100101     Document Type: Article

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