A novel method for disease prediction: Hybrid of random forest and multivariate adaptive regression splines

Journal of Computers (Finland)

Volumn 8, Issue 1, 2013, Pages 170-177

  Yao, Dengju ^a   Yang, Jing ^a   Zhan, Xiaojuan ^b  

^a HARBIN ENGINEERING UNIVERSITY   (China)

^b HEILONGJIANG INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Data mining; Medical data; Multivariate adaptive regression splines; Random forest

Indexed keywords

CLINICAL DIAGNOSIS; CLUSTERING ANALYSIS; COMBINATION METHOD; CROSS VALIDATION; DATA MINING TECHNIQUES; DATA MINING TECHNOLOGY; DATA SETS; FOCUS OF ATTENTION; HYBRID METHOD; MEDICAL DATA; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; PERFORMANCE MEASUREMENTS; PREDICTION MODEL; RANDOM FOREST ALGORITHM; RANDOM FORESTS; RULE ANALYSIS;

DATA MINING; DECISION TREES; FORECASTING; REGRESSION ANALYSIS;

DIAGNOSIS;

EID: 84872411877     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.8.1.170-177     Document Type: Article

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