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Volumn , Issue , 2008, Pages 108-115

Intelligent heart disease prediction system using data mining techniques

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; BLOOD; BLOOD PRESSURE; CARDIOLOGY; CHLORINE COMPOUNDS; COMPUTER APPLICATIONS; COMPUTER SYSTEMS; DATA MINING; DECISION SUPPORT SYSTEMS; DECISION THEORY; DECISION TREES; FORECASTING; GLUCOSE; HEALTH; HIDDEN MARKOV MODELS; INFORMATION MANAGEMENT; KNOWLEDGE MANAGEMENT; MANAGEMENT INFORMATION SYSTEMS; MINING; MINING ENGINEERING; NEURAL NETWORKS; PROBLEM SOLVING; SEARCH ENGINES; SUGAR (SUCROSE); SUGARS; TREES (MATHEMATICS);

EID: 50049090653     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICCSA.2008.4493524     Document Type: Conference Paper
Times cited : (487)

References (17)
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    • Application of Data Mining Techniques to Healthcare Data
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    • Obenshain, M.K.1
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    • The Next Generation Clinical Decision Support: Linking Evidence to Best Practice
    • Wu, R., Peters, W., Morgan, M.W.: "The Next Generation Clinical Decision Support: Linking Evidence to Best Practice", Journal Healthcare Information Management. 16(4), 50-55, 2002.
    • (2002) Journal Healthcare Information Management , vol.16 , Issue.4 , pp. 50-55
    • Wu, R.1    Peters, W.2    Morgan, M.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.