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Volumn 19, Issue 12, 2007, Pages 1043-1045

The use of artificial neural network in gastroenterology: The experience of the first 10 years

Author keywords

[No Author keywords available]

Indexed keywords

GASTRIN; PEPSINOGEN I;

EID: 36248953324     PISSN: 0954691X     EISSN: None     Source Type: Journal    
DOI: 10.1097/MEG.0b013e3282f198e5     Document Type: Review
Times cited : (11)

References (11)
  • 1
    • 0042308437 scopus 로고    scopus 로고
    • Is artificial intelligence an intelligent choice for gastroenterologists?
    • Hollander D. Is artificial intelligence an intelligent choice for gastroenterologists? Dig Liv Dis 2003; 35:212-214.
    • (2003) Dig Liv Dis , vol.35 , pp. 212-214
    • Hollander, D.1
  • 2
    • 33846683604 scopus 로고    scopus 로고
    • International experience on the use of artificial neural networks in gastroenterology
    • Grossi E, Mancini A, Buscema M. International experience on the use of artificial neural networks in gastroenterology. Dig Liv Dis 2007; 39:278-285.
    • (2007) Dig Liv Dis , vol.39 , pp. 278-285
    • Grossi, E.1    Mancini, A.2    Buscema, M.3
  • 3
    • 36248957151 scopus 로고    scopus 로고
    • Introduction to artificial neural networks
    • Grossi E, Buscema M. Introduction to artificial neural networks. Eur J Gastroenterol Hepatol 2007; 19:1046-1054.
    • (2007) Eur J Gastroenterol Hepatol , vol.19 , pp. 1046-1054
    • Grossi, E.1    Buscema, M.2
  • 5
    • 0041306953 scopus 로고    scopus 로고
    • on behalf of the NUD LOOK Study Group. Contribution of artificial neural networks to the classification and treatment of patients with uninvestigated dyspepsia
    • Andriulli A, Grossi E, Buscema M, Festa V, Intraligi NM, Dominaci P, et al., on behalf of the NUD LOOK Study Group. Contribution of artificial neural networks to the classification and treatment of patients with uninvestigated dyspepsia. Dig Liv Dis 2003; 35:222-231.
    • (2003) Dig Liv Dis , vol.35 , pp. 222-231
    • Andriulli, A.1    Grossi, E.2    Buscema, M.3    Festa, V.4    Intraligi, N.M.5    Dominaci, P.6
  • 6
    • 22044454320 scopus 로고    scopus 로고
    • An optimized experimental protocol based on neuro-evolutionary algorithms. Application to the classification of dyspeptic patients and to the prediction of the effectiveness of their treatment
    • Buscema M, Grossi E, Intraligi M, Garbagna N, Andriulli A, Breda M. An optimized experimental protocol based on neuro-evolutionary algorithms. Application to the classification of dyspeptic patients and to the prediction of the effectiveness of their treatment. Artif Intell Med 2005; 34:279-305.
    • (2005) Artif Intell Med , vol.34 , pp. 279-305
    • Buscema, M.1    Grossi, E.2    Intraligi, M.3    Garbagna, N.4    Andriulli, A.5    Breda, M.6
  • 7
    • 36249013261 scopus 로고    scopus 로고
    • Assessing the severity of atrophic gastritis
    • Annibale B, Lahner E. Assessing the severity of atrophic gastritis. Eur J Gastroenterol Hepatol 2007; 19:1059-1063.
    • (2007) Eur J Gastroenterol Hepatol , vol.19 , pp. 1059-1063
    • Annibale, B.1    Lahner, E.2
  • 8
    • 36248986257 scopus 로고    scopus 로고
    • Prediction of outcome in acute lower gastrointestinal hemorrhage: Role of artificial neural network
    • Das A, Wong RCK. Prediction of outcome in acute lower gastrointestinal hemorrhage: role of artificial neural network. Eur J Gastroenterol Hepatol 2007; 19:1064-1069.
    • (2007) Eur J Gastroenterol Hepatol , vol.19 , pp. 1064-1069
    • Das, A.1    Wong, R.C.K.2
  • 9
    • 0142155223 scopus 로고    scopus 로고
    • Prediction of outcome in acute lower gastrointestinal hemorrhage based on an artificial neural network: Internal and external validation of a predictive model
    • Das A, Ben-Menachem T, Cooper GS, Chak A, Sivak MV Jr, Gonet JA, et al. Prediction of outcome in acute lower gastrointestinal hemorrhage based on an artificial neural network: internal and external validation of a predictive model. Lancet 2003; 362:1261-1266.
    • (2003) Lancet , vol.362 , pp. 1261-1266
    • Das, A.1    Ben-Menachem, T.2    Cooper, G.S.3    Chak, A.4    Sivak Jr, M.V.5    Gonet, J.A.6
  • 10
    • 33645103359 scopus 로고    scopus 로고
    • Proposal of a modified Child-Turcotte-Pugh scoring system and comparison with the model for end-stage liver disease for outcome prediction in patients with cirrhosis
    • Huo TI, Lin HC, Wu JC, Lee FY, Hou MC, Lee PC, et al. Proposal of a modified Child-Turcotte-Pugh scoring system and comparison with the model for end-stage liver disease for outcome prediction in patients with cirrhosis. Liver Transpl 2006; 12:65-71.
    • (2006) Liver Transpl , vol.12 , pp. 65-71
    • Huo, T.I.1    Lin, H.C.2    Wu, J.C.3    Lee, F.Y.4    Hou, M.C.5    Lee, P.C.6
  • 11
    • 69749126033 scopus 로고    scopus 로고
    • Models for prediction of mortality from cirrhosis with special reference to artificial neural network: A critical review
    • in press
    • Ghoshal UC, Das A. Models for prediction of mortality from cirrhosis with special reference to artificial neural network: a critical review. Hepatol Int; in press.
    • Hepatol Int
    • Ghoshal, U.C.1    Das, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.