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Journal Abstract Search
1539 related items for PubMed ID: 19833488
1. Impact of censoring on learning Bayesian networks in survival modelling. Stajduhar I, Dalbelo-Basić B, Bogunović N. Artif Intell Med; 2009 Nov; 47(3):199-217. PubMed ID: 19833488 [Abstract] [Full Text] [Related]
2. Learning Bayesian networks from survival data using weighting censored instances. Stajduhar I, Dalbelo-Basić B. J Biomed Inform; 2010 Aug; 43(4):613-22. PubMed ID: 20332035 [Abstract] [Full Text] [Related]
3. Bayesian networks for multivariate data analysis and prognostic modelling in cardiac surgery. Peek N, Verduijn M, Rosseel PM, de Jonge E, de Mol BA. Stud Health Technol Inform; 2007 Aug; 129(Pt 1):596-600. PubMed ID: 17911786 [Abstract] [Full Text] [Related]
6. A new machine learning classifier for high dimensional healthcare data. Padman R, Bai X, Airoldi EM. Stud Health Technol Inform; 2007 Aug; 129(Pt 1):664-8. PubMed ID: 17911800 [Abstract] [Full Text] [Related]
7. Exploiting missing clinical data in Bayesian network modeling for predicting medical problems. Lin JH, Haug PJ. J Biomed Inform; 2008 Feb; 41(1):1-14. PubMed ID: 17625974 [Abstract] [Full Text] [Related]
8. A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service. Acid S, de Campos LM, Fernández-Luna JM, Rodríguez S, María Rodríguez J, Luis Salcedo J. Artif Intell Med; 2004 Mar; 30(3):215-32. PubMed ID: 15081073 [Abstract] [Full Text] [Related]
9. [Meta-analysis of the Italian studies on short-term effects of air pollution]. Biggeri A, Bellini P, Terracini B, Italian MISA Group. Epidemiol Prev; 2001 Mar; 25(2 Suppl):1-71. PubMed ID: 11515188 [Abstract] [Full Text] [Related]
10. Bayesian random-effects threshold regression with application to survival data with nonproportional hazards. Pennell ML, Whitmore GA, Ting Lee ML. Biostatistics; 2010 Jan; 11(1):111-26. PubMed ID: 19828558 [Abstract] [Full Text] [Related]
16. Improving Bayesian credibility intervals for classifier error rates using maximum entropy empirical priors. Gustafsson MG, Wallman M, Wickenberg Bolin U, Göransson H, Fryknäs M, Andersson CR, Isaksson A. Artif Intell Med; 2010 Jun; 49(2):93-104. PubMed ID: 20347582 [Abstract] [Full Text] [Related]
17. Maximizing sensitivity in medical diagnosis using biased minimax probability machine. Huang K, Yang H, King I, Lyu MR. IEEE Trans Biomed Eng; 2006 May; 53(5):821-31. PubMed ID: 16686404 [Abstract] [Full Text] [Related]
18. Support vector methods for survival analysis: a comparison between ranking and regression approaches. Van Belle V, Pelckmans K, Van Huffel S, Suykens JA. Artif Intell Med; 2011 Oct; 53(2):107-18. PubMed ID: 21821401 [Abstract] [Full Text] [Related]