Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis

Expert Systems with Applications

Volumn 41, Issue 11, 2014, Pages 5405-5415

  Niemann, Uli ^a   Völzke, Henry ^b   Kühn, Jens Peter ^b   Spiliopoulou, Myra ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY OF GREIFSWALD   (Germany)

Author keywords

Classification rules; Hepatic steatosis; Interactive data mining; Longitudinal epidemiological studies; Medical data mining; Subpopulation mining

Indexed keywords

DATA MINING;

CLASSIFICATION RULES; EPIDEMIOLOGICAL STUDIES; HEPATIC STEATOSIS; INTERACTIVE DATA MINING; MEDICAL DATA MINING;

RISK ASSESSMENT;

EID: 84898477856     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.02.040     Document Type: Article

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