An improved hypertension prediction model based on RS and SVM in the three gorges area

Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008

Volumn 1, Issue , 2008, Pages 810-814

  Zhang, Guojun ^a,b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Bejing Institute of Technology   (China)

Author keywords

Attribute reduction; Hypertension prediction model; Rough set; SVM

Indexed keywords

ATTRIBUTE REDUCTION; ATTRIBUTE REDUCTION ALGORITHMS; CLASSIFICATION ,; HYPERTENSION DISEASE; HYPERTENSION PREDICTION MODEL; INPUT VECTORS; MACHINE LEARNING ALGORITHMS; PRE PROCESSORS; REAL-TIME CAPACITIES; ROUGH SET; SAMPLE DATUM; SVM; SVM MODELS; THREE GORGES AREAS;

COMPUTERS; FUZZY SETS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MECHANICAL PROPERTIES; RAPID SOLIDIFICATION; ROUGH SET THEORY; SOFTWARE ENGINEERING;

SUPPORT VECTOR MACHINES;

EID: 61849098272     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.664     Document Type: Conference Paper

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