메뉴 건너뛰기




Volumn 36, Issue 3, 2012, Pages 1603-1606

A study on hepatitis disease diagnosis using probabilistic neural network

Author keywords

Hepatitis disease diagnosis; Probabilistic neural network

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; DATA BASE; HEPATITIS; MACHINE LEARNING; PROBABILISTIC NEURAL NETWORK;

EID: 84864057324     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9621-x     Document Type: Article
Times cited : (41)

References (19)
  • 1
    • 84864032389 scopus 로고    scopus 로고
    • http://www.tibotec-hcv.com/hcv/what-is-hepatitis.html.
  • 2
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht, D. F., Probabilistic neural networks. Neural Netw. 3:109-118, 1990.
    • (1990) Neural Netw. , vol.3 , pp. 109-118
    • Specht, D.F.1
  • 3
    • 41449090470 scopus 로고    scopus 로고
    • Quantitative discrimination of the binary gas mixtures using a combinational structure of the probabilistic and multilayer neural networks
    • DOI 10.1016/j.snb.2007.11.008, PII S0925400507009215
    • Gulbag, A., Temurtas, F., and Yusubov, I., Quantitative discrimination of the binary gas mixtures using a combinational structure of the probabilistic and multilayer neural networks. Sens. Actuators B: Chem. 131:196-204, 2007. doi:10.1016/j.snb.2007.11.008. (Pubitemid 351458642)
    • (2008) Sensors and Actuators, B: Chemical , vol.131 , Issue.1 , pp. 196-204
    • Gulbag, A.1    Temurtas, F.2    Yusubov, I.3
  • 4
    • 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
  • 5
    • 60349107274 scopus 로고    scopus 로고
    • A comparative study on diabetes disease diagnosis using neural networks
    • Temurtas, H., Yumusak, N., and Temurtas, F., A comparative study on diabetes disease diagnosis using neural networks. Expert Syst. Appl. 36:8610-8615, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 8610-8615
    • Temurtas, H.1    Yumusak, N.2    Temurtas, F.3
  • 6
    • 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
  • 10
    • 33846442797 scopus 로고    scopus 로고
    • Medical decision support system based on artificial immune recognition immune system (AIRS), fuzzy weighted pre-processing and feature selection
    • DOI 10.1016/j.eswa.2006.05.013, PII S0957417406001643
    • Polat, K., and Güneş, S., Medical Decission support system based on artificial immune recognation system(AIRS), fuzzy weighted pre-processing and feature selection. Expert Syst. Appl 33 (2007):484-490, 2007. (Pubitemid 46150051)
    • (2007) Expert Systems with Applications , vol.33 , Issue.2 , pp. 484-490
    • Polat, K.1    Gunes, S.2
  • 11
    • 79959751877 scopus 로고    scopus 로고
    • A study on hepatitis disease diagnosis using multilayer neural network with Levenberg Marquardt Training Algorithm
    • doi:10.1007/s10916-009-9378-2
    • Bascil, M. S., and Temurtas, F., A study on hepatitis disease diagnosis using multilayer neural network with Levenberg Marquardt Training Algorithm. J. Med. Syst. doi:10.1007/s10916-009-9378-2.
    • J. Med. Syst.
    • Bascil, M.S.1    Temurtas, F.2
  • 12
    • 0141573276 scopus 로고    scopus 로고
    • Artificial neural networks for diagnosis of hepatitis disease
    • Portland, OR, USA, July 20-24
    • Özyilmaz, L., and Yildirim, T., Artificial neural networks for diagnosis of hepatitis disease, in:International Joint Conference on Neural Networks (IJCNN), Portland, OR, USA, July 20-24, vol. 1, 2003, pp. 586-589.
    • (2003) International Joint Conference on Neural Networks (IJCNN) , vol.1 , pp. 586-589
    • Özyilmaz, L.1    Yildirim, T.2
  • 13
    • 33751175417 scopus 로고    scopus 로고
    • Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation
    • DOI 10.1016/j.dsp.2006.07.005, PII S1051200406000972
    • 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. Digital Signal Process. 16(2006):889-901, 2006. (Pubitemid 44779338)
    • (2006) Digital Signal Processing: A Review Journal , vol.16 , Issue.6 , pp. 889-901
    • Polat, K.1    Gunes, S.2
  • 14
    • 35348890827 scopus 로고    scopus 로고
    • A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS
    • DOI 10.1016/j.cmpb.2007.07.013, PII S0169260707001885
    • 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(2007):164-174, 2007. (Pubitemid 47588443)
    • (2007) Computer Methods and Programs in Biomedicine , vol.88 , Issue.2 , pp. 164-174
    • Polat, K.1    Gunes, S.2
  • 15
    • 67349267265 scopus 로고    scopus 로고
    • Automatic hepatitis diagnosis system based on Linear Discriminant Analysis and AdaptiveNetwork based on Fuzzy Inference System
    • Doǧantekin, E., Doǧantekin, A., and Avci, D., Automatic hepatitis diagnosis system based on Linear Discriminant Analysis and AdaptiveNetwork based on Fuzzy Inference System. Expert Syst. Appl. 36(2009):11282-11286, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.2009 , pp. 11282-11286
    • Doǧantekin, E.1    Doǧantekin, A.2    Avci, D.3
  • 19
    • 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., and Kadam, A., Predicting breast cancer survivability: A comparison of three data mining methods. Artif. Intell. Med. 34(2):113-127, 2005. (Pubitemid 40719029)
    • (2005) Artificial Intelligence in Medicine , vol.34 , Issue.2 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.