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Volumn 35, Issue 3, 2011, Pages 433-436

A study on hepatitis disease diagnosis using multilayer neural network with Levenberg Marquardt training algorithm

Author keywords

Hepatitis disease diagnosis; Levenberg Marquardt training algorithm; Multilayer neural network

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; DATA BASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; FUZZY LOGIC; HEPATITIS; INTESTINE FUNCTION; LEARNING ALGORITHM; LEVENBERG-MARQUARDT ALGORITHM; MACHINE LEARNING; MULTILAYER NEURAL NETWORK; SIGMOID;

EID: 79959751877     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-009-9378-2     Document Type: Article
Times cited : (49)

References (22)
  • 2
    • 35348890827 scopus 로고    scopus 로고
    • A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS
    • Polat, K., and Güneş, S., A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS. Comput. Methods Programs Biomed. 88:164-174, 2007.
    • (2007) Comput. Methods Programs Biomed. , vol.88 , pp. 164-174
    • Polat, K.1    Güneş, S.2
  • 3
    • 33751175417 scopus 로고    scopus 로고
    • Hepatitis disease diagnosis using a new hybrid system based on future selection(FS) and artificial immune recognition system with fuzzy resource allocation
    • Polat, K., and Güneş, S., Hepatitis disease diagnosis using a new hybrid system based on future selection(FS) and artificial immune recognition system with fuzzy resource allocation. Digit. Signal Process. 16:889-901, 2006.
    • (2006) Digit. Signal Process. , vol.16 , pp. 889-901
    • Polat, K.1    Güneş, S.2
  • 4
    • 33846442797 scopus 로고    scopus 로고
    • Medical decision support system based on artificial immune recognition system(AIRS), fuzzy weighted pre-processing and feature selection
    • Polat, K., and Güneş, S., Medical decision support system based on artificial immune recognition system(AIRS), fuzzy weighted pre-processing and feature selection. Expert Syst. Appl. 33:484-490, 2007.
    • (2007) Expert Syst. Appl. , vol.33 , pp. 484-490
    • Polat, K.1    Güneş, S.2
  • 5
    • 67349267265 scopus 로고    scopus 로고
    • Automatic hepatitis diagnosis system based on linear discriminant analysis and adaptive network based on fuzzy inference system
    • Doǧantekin, E., Doǧantekin, A., and Avci, D., Automatic hepatitis diagnosis system based on linear discriminant analysis and adaptive network based on fuzzy inference system. Expert Syst. Appl. 36:11282-11286, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 11282-11286
    • Doǧantekin, E.1    Doǧantekin, A.2    Avci, D.3
  • 7
    • 19344364327 scopus 로고    scopus 로고
    • Predicting breast cancer survivability: A comparison of three data mining methods artificial intelligence in medicine
    • Delen, D., Walker, G., and Kadam, A., Predicting breast cancer survivability: A comparison of three data mining methods artificial intelligence in medicine. Artif. Intell. Med. 34 (2)113-127, 2005.
    • (2005) Artif. Intell. Med. , vol.34 , Issue.2 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3
  • 8
    • 53849093453 scopus 로고    scopus 로고
    • A comparative study on thyroid disease diagnosis using neural networks
    • Temurtas, F., A comparative study on thyroid disease diagnosis using neural networks. Expert Syst. Appl. 36:944-949, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 944-949
    • Temurtas, F.1
  • 9
    • 51349097426 scopus 로고    scopus 로고
    • A study on chronic obstructive pulmonary disease diagnosis using multilayer neural networks
    • Er, O., and Temurtas, F., A study on chronic obstructive pulmonary disease diagnosis using multilayer neural networks. J. Med. Syst. 32 (5)429-432, 2008.
    • (2008) J. Med. Syst. , vol.32 , Issue.5 , pp. 429-432
    • Er, O.1    Temurtas, F.2
  • 11
    • 0026154952 scopus 로고
    • Fast training algorithms for multi-layer neural nets
    • Brent, R. P., Fast training algorithms for multi-layer neural nets. IEEE Trans. Neural Netw. 2:346-354, 1991.
    • (1991) IEEE Trans. Neural Netw. , vol.2 , pp. 346-354
    • Brent, R.P.1
  • 13
    • 0028543366 scopus 로고
    • Training feed forward networks with the Marquardt algorithm
    • Hagan, M. T., and Menhaj, M., Training feed forward networks with the Marquardt algorithm. IEEE Trans. Neural Netw. 5:989-993, 1994.
    • (1994) IEEE Trans. Neural Netw. , vol.5 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 15
    • 33645751073 scopus 로고    scopus 로고
    • A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro fuzzy inference systems
    • Gulbag, A., and Temurtas, F., A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro fuzzy inference systems. Sens. Actuators B. 115:252-262, 2006.
    • (2006) Sens. Actuators B , vol.115 , pp. 252-262
    • Gulbag, A.1    Temurtas, F.2
  • 16
    • 0032029156 scopus 로고    scopus 로고
    • ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
    • DOI 10.1016/S0893-6080(97)00067-1, PII S0893608097000671
    • Carpenter, G. A., and Markuzon, N., ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases. Neural Netw. 11:323-336, 1998. (Pubitemid 28231477)
    • (1998) Neural Networks , vol.11 , Issue.2 , pp. 323-336
    • Carpenter, G.A.1    Markuzon, N.2
  • 19
    • 79959714147 scopus 로고    scopus 로고
    • Version 7.0, Release 14. MathWorks, Inc.
    • MathWorks, Matlab® Documentation. Version 7.0, Release 14. MathWorks, Inc., 2004.
    • (2004) MathWorks, Matlab® Documentation
  • 20
    • 77954067701 scopus 로고    scopus 로고
    • Tuberculosis disease diagnosis using artificial neural networks
    • doi:10.1007/s10916-008-9241-x
    • Er, O., Temurtas, F., and Tanrikulu, A. C., Tuberculosis disease diagnosis using artificial neural networks. J. Med. Syst. 2008. doi:10.1007/s10916-008-9241-x
    • (2008) J. Med. Syst.
    • Er, O.1    Temurtas, F.2    Tanrikulu, A.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.