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Volumn 4, Issue 1, 2008, Pages 219-224

Global comparison study of five data mining methods in predicting syndrome in coronary heart disease

Author keywords

Clinical epidemiology survey; Comparison study; Coronary heart disease; Syndrome

Indexed keywords

ANGIOGRAPHY; DATA MINING; DECISION TREES; EPIDEMIOLOGY; EXPERT SYSTEMS; FORECASTING; MEDICINE; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

EID: 40749128051     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (12)
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    • VKORC1 Haplotypes are associated with arterial vascular diseases (stroke, coronary heart disease, and aortic dissection)
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    • Wang, Y.1    Zhang, W.2    Hui, R.3
  • 2
    • 34249037449 scopus 로고    scopus 로고
    • Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network
    • S. Li, Z. Zhang, Y. Wang, etc. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network. IET Systems Biology, 2007, 1: 51-60.
    • (2007) IET Systems Biology , vol.1 , pp. 51-60
    • Li, S.1    Zhang, Z.2    Wang, Y.3
  • 3
    • 0037428194 scopus 로고    scopus 로고
    • The new face of traditional Chinese medicine
    • D. Nonnile. The New Face of Traditional Chinese Medicine. Science, 2003, 299: 188-190.
    • (2003) Science , vol.299 , pp. 188-190
    • Nonnile, D.1
  • 4
    • 0003957032 scopus 로고    scopus 로고
    • Data mining: Practical machine learning tools and techniques Second Edition
    • Morgan Kaufmann, San Francisco
    • I. Witten, and E. Frank Michalewicz. Data mining: Practical machine learning tools and techniques Second Edition. Morgan Kaufmann, San Francisco, 2005.
    • (2005)
    • Witten, I.1    Michalewicz, E.F.2
  • 7
    • 33847421698 scopus 로고    scopus 로고
    • A novel continuous forward algorithm for RBF neural modeling
    • J. Peng, K. Li, and G. Irwin. A Novel Continuous Forward Algorithm for RBF Neural Modeling, IEEE Transactions on Automatic Control, 2007, 52: 117-122.
    • (2007) IEEE Transactions on Automatic Control , vol.52 , pp. 117-122
    • Peng, J.1    Li, K.2    Irwin, G.3
  • 9
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    • Training of support vector machines using sequential minimal optimization
    • Schoelkopf B., Burges C. and Smola A.(ed.), MIT Press
    • J. Platt. Training of Support Vector Machines using Sequential Minimal Optimization, Advances in Kernel Methods-Support Vector Learning, B. Schoelkopf, C. Burges, and A. Smola, eds., MIT Press, 1980.
    • (1980) Advances in Kernel Methods-Support Vector Learning
    • Platt, J.1
  • 10
    • 0003710380 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • C. Chang and C. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/-cjlin/libsvm-6.
    • (2001)
    • Chang, C.1    Lin, C.2
  • 11
    • 33847704184 scopus 로고    scopus 로고
    • K-Means+ID3: A novel method for supervised anomaly detection by cascading k-means clustering and ID3 decision tree learning methods
    • R Shekhar, G. Phoha, and K. Balagani. K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods. IEEE Transactions on Knowledge and Data Engineering, 2007, 19: 345-354.
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , pp. 345-354
    • Shekhar, R.1    Phoha, G.2    Balagani, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.