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Volumn , Issue , 2010, Pages 193-198

Comparing performances of logistic regression, decision trees, and neural networks for classifying heart disease patients

Author keywords

Artificial neural networks; Classification trees; Data mining; Data mining techniques; Decision trees; Heart disease; Logistic regression classifiers

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION TREES; DATA MINING TECHNIQUES; HEART DISEASE; LOGISTIC REGRESSION CLASSIFIERS;

EID: 78651253190     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISIM.2010.5643666     Document Type: Conference Paper
Times cited : (63)

References (18)
  • 1
    • 56349143219 scopus 로고    scopus 로고
    • An intelligent diagnosis system based on principle component analysis and ANFIS for the heart valve diseases
    • Mar. 2009
    • Avci, E. and Turkoglu, I. 2009. An intelligent diagnosis system based on principle component analysis and ANFIS for the heart valve diseases. Expert Syst. Appl. 36, 2 (Mar. 2009), 2873-2878.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.2 , pp. 2873-2878
    • Avci, E.1    Turkoglu, I.2
  • 4
    • 78651232399 scopus 로고    scopus 로고
    • Models to predict cardiovascular risk: Comparison of CART, multilayer perceptron and logistic regression
    • Colombet, I., Ruelland, A., Chatellier, G., Gueyffier, F., Degoulet, P., & Jaulent, M. C. (2000). Models to predict cardiovascular risk: comparison of CART, multilayer perceptron and logistic regression. Proc AMIA Symp, 156160.
    • (2000) Proc AMIA Symp , pp. 156160
    • Colombet, I.1    Ruelland, A.2    Chatellier, G.3    Gueyffier, F.4    Degoulet, P.5    Jaulent, M.C.6
  • 5
    • 58149316227 scopus 로고    scopus 로고
    • Diagnosis of valvular heart disease through neural networks ensembles
    • Feb. 2009
    • Das, R., Turkoglu, I., and Sengur, A. 2009. Diagnosis of valvular heart disease through neural networks ensembles. Comput. Methods Prog. Biomed. 93, 2 (Feb. 2009), 185-191.
    • (2009) Comput. Methods Prog. Biomed. , vol.93 , Issue.2 , pp. 185-191
    • Das, R.1    Turkoglu, I.2    Sengur, A.3
  • 7
    • 19344364327 scopus 로고    scopus 로고
    • Predicting breast cancer survivability: A comparison of three data mining methods
    • DOI 10.1016/j.artmed.2004.07.002, PII S0933365704001010
    • Delen, D., Walker, G., & Kadam, A. (2004). Predicting breast cancer survivability: a comparison of three data mining methods. Artificial Intelligence in Medicine, 34(2), 113127. (Pubitemid 40719029)
    • (2005) Artificial Intelligence in Medicine , vol.34 , Issue.2 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3
  • 8
    • 0003079343 scopus 로고
    • Comparative study of artificial neural network and statistical medels for predicting student grade point averages
    • Gorr, W. L., Nagin, D., & Szczypula, J.(1994). Comparative study of artificial neural network and statistical medels for predicting student grade point averages. International Journal of Forecasting, 10, 17-34.
    • (1994) International Journal of Forecasting , vol.10 , pp. 17-34
    • Gorr, W.L.1    Nagin, D.2    Szczypula, J.3
  • 10
    • 34248647301 scopus 로고    scopus 로고
    • Comparing performances of logistic regression, classi.cation and regression tree, and neural networks for predicting coronary artery disease
    • Imran Kurt, Mevlut Ture,A.Turhan Kurum.2008.Comparing performances of logistic regression, classi.cation and regression tree, and neural networks for predicting coronary artery disease.Expert Systems with Applications 34(2008),366-374.
    • (2008) Expert Systems with Applications , vol.34 , Issue.2008 , pp. 366-374
    • Kurt, I.1    Ture, M.2    Kurum, A.T.3
  • 11
    • 16544378108 scopus 로고    scopus 로고
    • Beyond Clinical Documentation: Using the EMR as a Quality Tool
    • November 22-24
    • J.Morris,"Beyond Clinical Documentation: Using the EMR as a Quality Tool," Health Management Technology, volime 25, issue 11, November 2004, pp. 20,22-24.
    • (2004) Health Management Technology , vol.25 , Issue.11 , pp. 20
    • Morris, J.1
  • 12
    • 0029306995 scopus 로고
    • Statlog-comparison of classification algorithms on large real-world problems
    • King, R. D., Feng, C., & Sutherland, A. (1995). Statlog-comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence, 9(3), 289333.
    • (1995) Applied Artificial Intelligence , vol.9 , Issue.3 , pp. 289333
    • King, R.D.1    Feng, C.2    Sutherland, A.3
  • 13
    • 0035540985 scopus 로고    scopus 로고
    • Model Selection for neural network classification
    • Lee, H. K. H. (2001). Model Selection for neural network classification. Journal of Classification, 18, 227243.
    • (2001) Journal of Classification , vol.18 , pp. 227243
    • Lee, H.K.H.1
  • 15
    • 0037202445 scopus 로고    scopus 로고
    • Comparing five modelling techniques for predicting forests characteristics
    • Moisen, G. G., & Frescino, T. S. (2002). Comparing five modelling techniques for predicting forests characteristics. Ecological Modelling, 157, 209225.
    • (2002) Ecological Modelling , vol.157 , pp. 209225
    • Moisen, G.G.1    Frescino, T.S.2
  • 17
    • 78651241597 scopus 로고    scopus 로고
    • The application of nonparametric techniques to solve classification problems in complex data sets in veterinary epidemiologyan example
    • Stark, K. D. C., & Pfeiffer, D. U. (1999). The application of nonparametric techniques to solve classification problems in complex data sets in veterinary epidemiologyan example. Intelligent Data Analysis, 3, 2335.
    • (1999) Intelligent Data Analysis , vol.3 , pp. 2335
    • Stark, K.D.C.1    Pfeiffer, D.U.2
  • 18
    • 34247544962 scopus 로고    scopus 로고
    • Predicting carcinoid heart disease with the noisy-threshold classifier
    • May. 2007
    • van Gerven, M. A., Jurgelenaite, R., Taal, B. G., Heskes, T., and Lucas, P. J. 2007. Predicting carcinoid heart disease with the noisy-threshold classifier. Artif. Intell. Med. 40, 1 (May. 2007), 45-55.
    • (2007) Artif. Intell. Med. , vol.40 , Issue.1 , pp. 45-55
    • Van Gerven, M.A.1    Jurgelenaite, R.2    Taal, B.G.3    Heskes, T.4    Lucas, P.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.