메뉴 건너뛰기




Volumn 43, Issue 4, 2011, Pages 1340-1342

Application of the intelligent techniques in transplantation databases: A review of articles published in 2009 and 2010

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BIBLIOGRAPHIC DATABASE; CLINICAL DECISION MAKING; CONFERENCE PAPER; DATA BASE; DECISION SUPPORT SYSTEM; DECISION TREE; HIDDEN MARKOV MODEL; HUMAN; INSTITUTE FOR SCIENTIFIC INFORMATION WEB OF KNOWLEDGE; LOGISTIC REGRESSION ANALYSIS; MEDLINE; ORGAN TRANSPLANTATION; PRIORITY JOURNAL;

EID: 79957586290     PISSN: 00411345     EISSN: 18732623     Source Type: Journal    
DOI: 10.1016/j.transproceed.2011.02.028     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 4
    • 0141506860 scopus 로고    scopus 로고
    • Predicting mortality in patients with cirrhosis of liver with application of neural network technology
    • Banerjee R, Das A, Ghoshal UC, et al: Predicting mortality in patients with cirrhosis of liver with application of neural network technology. J Gastroenterol Hepatol 18:1054, 2003
    • (2003) J Gastroenterol Hepatol , vol.18 , pp. 1054
    • Banerjee, R.1    Das, A.2    Ghoshal, U.C.3
  • 5
    • 33749582215 scopus 로고    scopus 로고
    • A study on organ transplantation waiting lines in Brazil's Unified National Health System
    • Marinho A: A study on organ transplantation waiting lines in Brazil's Unified National Health System. Cadernos de Saúde Pública 22:2229, 2006
    • (2006) Cadernos de Saúde Pública , vol.22 , pp. 2229
    • Marinho, A.1
  • 6
    • 45149134354 scopus 로고    scopus 로고
    • Increased plasma interleukin-6 in donors is associated with lower recipient hospital-free survival after cadaveric organ transplantation
    • HIDonOR Study Investigators
    • Murugan R, Venkataraman R, Wahed AS, et al: HIDonOR Study Investigators. Increased plasma interleukin-6 in donors is associated with lower recipient hospital-free survival after cadaveric organ transplantation. Crit Care Med 36:1810, 2008
    • (2008) Crit Care Med , vol.36 , pp. 1810
    • Murugan, R.1    Venkataraman, R.2    Wahed, A.S.3
  • 7
    • 44449142555 scopus 로고    scopus 로고
    • Minimizing morbidity of organ donation: Analysis of factors for perioperative complications after living-donor nephrectomy in the United States
    • Patel S, Cassuto J, Orloff M, et al: Minimizing morbidity of organ donation: analysis of factors for perioperative complications after living-donor nephrectomy in the United States. Transplantation 85:561, 2008
    • (2008) Transplantation , vol.85 , pp. 561
    • Patel, S.1    Cassuto, J.2    Orloff, M.3
  • 8
    • 79957600489 scopus 로고    scopus 로고
    • Aplicação de Técnicas Computacionais em Bases de Da-dos de Transplante: Revisão de Artigos Publicados no Bieñio 2007-2008
    • Hummel AD, Maciel RF, Falcão AE, et al: Aplicação de Técnicas Computacionais em Bases de Da-dos de Transplante: Revisão de Artigos Publicados no Bieñio 2007-2008. JBT Jornal Brasileiro de Transplantes 12:1045, 2009
    • (2009) JBT Jornal Brasileiro de Transplantes , vol.12 , pp. 1045
    • Hummel, A.D.1    Maciel, R.F.2    Falcão, A.E.3
  • 9
    • 79957623933 scopus 로고    scopus 로고
    • Virtual cross-matching in heart transplantation: Large scale simulation of survival after heart transplantation using artificial neural networks
    • Nilsson J, Ohlsson M, Hoglund P, et al: Virtual cross-matching in heart transplantation: large scale simulation of survival after heart transplantation using artificial neural networks. J Heart Lung Transplant 28(suppl 1):S231, 2009
    • (2009) J Heart Lung Transplant , vol.28 , Issue.SUPPL. 1
    • Nilsson, J.1    Ohlsson, M.2    Hoglund, P.3
  • 10
    • 79957588203 scopus 로고    scopus 로고
    • Artificial neural networks - A method for optimal donor-recipient matching. Large scale simulation of survival after heart transplantation
    • Nilsson J, Ohlsson M, Hoglund P, et al: Artificial neural networks - a method for optimal donor-recipient matching. Large scale simulation of survival after heart transplantation. J Heart Lung Transplant 29(suppl 1):S29, 2010
    • (2010) J Heart Lung Transplant , vol.29 , Issue.SUPPL. 1
    • Nilsson, J.1    Ohlsson, M.2    Hoglund, P.3
  • 11
    • 77949437426 scopus 로고    scopus 로고
    • Application of artificial neural networks in renal transplantation: Classification of nephrotoxicity and acute cellular rejection episodes
    • Hummel AD, Maciel RF, Rodrigues RGS, et al: Application of artificial neural networks in renal transplantation: classification of nephrotoxicity and acute cellular rejection episodes. Transplant Proc 42:471, 2010
    • (2010) Transplant Proc , vol.42 , pp. 471
    • Hummel, A.D.1    Maciel, R.F.2    Rodrigues, R.G.S.3
  • 12
    • 71549125894 scopus 로고    scopus 로고
    • Predicting the graft survival for heart-lung transplantation patients: An integrated data mining methodology
    • Oztekin A, Delen D, Kong ZJ: Predicting the graft survival for heart-lung transplantation patients: an integrated data mining methodology. Int J Med Inform 78:e84, 2009
    • (2009) Int J Med Inform , vol.78
    • Oztekin, A.1    Delen, D.2    Kong, Z.J.3
  • 13
    • 77951469347 scopus 로고    scopus 로고
    • Comparison between an artificial neural network and logistic regression in predicting acute graft-vs-host disease after unrelated donor hematopoietic stem cell transplantation in thalassemia patients
    • Caocci G, Baccoli R, Vacca A, et al: Comparison between an artificial neural network and logistic regression in predicting acute graft-vs-host disease after unrelated donor hematopoietic stem cell transplantation in thalassemia patients. Exp Hem 38:426, 2010
    • (2010) Exp Hem , vol.38 , pp. 426
    • Caocci, G.1    Baccoli, R.2    Vacca, A.3
  • 14
    • 70350620270 scopus 로고    scopus 로고
    • Decision analysis of peripheral blood versus bone marrow hematopoietic stem cells for allogeneic hematopoietic cell transplantation
    • Pidala J, Anasetti C, Kharfan-Dabaja MA, et al: Decision analysis of peripheral blood versus bone marrow hematopoietic stem cells for allogeneic hematopoietic cell transplantation. Bio Blood Marrow Transplant 15:1415, 2009
    • (2009) Bio Blood Marrow Transplant , vol.15 , pp. 1415
    • Pidala, J.1    Anasetti, C.2    Kharfan-Dabaja, M.A.3
  • 15
    • 67649222992 scopus 로고    scopus 로고
    • Decision analysis model for hepatitis B prophylaxis one year after liver transplantation
    • Saab S, Ham MY, Stone MA, et al: Decision analysis model for hepatitis B prophylaxis one year after liver transplantation. Liver Transplant 15:413, 2009
    • (2009) Liver Transplant , vol.15 , pp. 413
    • Saab, S.1    Ham, M.Y.2    Stone, M.A.3
  • 16
    • 70350728384 scopus 로고    scopus 로고
    • Impact of censoring on learning Bayesian networks in survival modelling
    • Stajduhar I, Dalbelo-Basic B, Bogunovic N: Impact of censoring on learning Bayesian networks in survival modelling. Artif Intell Med 47:199, 2009
    • (2009) Artif Intell Med , vol.47 , pp. 199
    • Stajduhar, I.1    Dalbelo-Basic, B.2    Bogunovic, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.