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Journal Abstract Search
265 related items for PubMed ID: 18951123
1. Selection of human embryos for transfer by Bayesian classifiers. Morales DA, Bengoetxea E, Larrañaga P. Comput Biol Med; 2008; 38(11-12):1177-86. PubMed ID: 18951123 [Abstract] [Full Text] [Related]
2. Bayesian classification for the selection of in vitro human embryos using morphological and clinical data. Morales DA, Bengoetxea E, Larrañaga P, García M, Franco Y, Fresnada M, Merino M. Comput Methods Programs Biomed; 2008 May; 90(2):104-16. PubMed ID: 18190996 [Abstract] [Full Text] [Related]
3. Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS. Blanco R, Inza I, Merino M, Quiroga J, Larrañaga P. J Biomed Inform; 2005 Oct; 38(5):376-88. PubMed ID: 15967731 [Abstract] [Full Text] [Related]
5. Maximum margin Bayesian network classifiers. Pernkopf F, Wohlmayr M, Tschiatschek S. IEEE Trans Pattern Anal Mach Intell; 2012 Mar; 34(3):521-32. PubMed ID: 21808086 [Abstract] [Full Text] [Related]
6. Improved naïve Bayesian modeling of numerical data for absorption, distribution, metabolism and excretion (ADME) property prediction. Klon AE, Lowrie JF, Diller DJ. J Chem Inf Model; 2006 Mar; 46(5):1945-56. PubMed ID: 16995725 [Abstract] [Full Text] [Related]
7. Machine learning in prognosis of the femoral neck fracture recovery. Kukar M, Kononenko I, Silvester T. Artif Intell Med; 1996 Oct; 8(5):431-51. PubMed ID: 8955855 [Abstract] [Full Text] [Related]
8. Optimal classifier fusion in a non-bayesian probabilistic framework. Terrades OR, Valveny E, Tabbone S. IEEE Trans Pattern Anal Mach Intell; 2009 Sep; 31(9):1630-44. PubMed ID: 19574623 [Abstract] [Full Text] [Related]
9. 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]
10. Bayesian approach to feature selection and parameter tuning for support vector machine classifiers. Gold C, Holub A, Sollich P. Neural Netw; 2005 Feb; 18(5-6):693-701. PubMed ID: 16111861 [Abstract] [Full Text] [Related]
11. Predicting coronary artery disease with medical profile and gene polymorphisms data. Chen Q, Li G, Leong TY, Heng CK. Stud Health Technol Inform; 2007 Feb; 129(Pt 2):1219-24. PubMed ID: 17911909 [Abstract] [Full Text] [Related]
12. Bayesian classifiers applied to the Tennessee Eastman process. Dos Santos EB, Ebecken NF, Hruschka ER, Elkamel A, Madhuranthakam CM. Risk Anal; 2014 Mar; 34(3):485-97. PubMed ID: 24117732 [Abstract] [Full Text] [Related]
13. Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction. Lin X, Chen XW. Proteomics; 2013 Jan; 13(2):261-8. PubMed ID: 23112070 [Abstract] [Full Text] [Related]
14. On the consistency of Bayesian variable selection for high dimensional binary regression and classification. Jiang W. Neural Comput; 2006 Nov; 18(11):2762-76. PubMed ID: 16999578 [Abstract] [Full Text] [Related]
15. Bayesian clustering of fuzzy feature vectors using a quasi-likelihood approach. Marttinen P, Tang J, De Baets B, Dawyndt P, Corander J. IEEE Trans Pattern Anal Mach Intell; 2009 Jan; 31(1):74-85. PubMed ID: 19029547 [Abstract] [Full Text] [Related]
16. Classification of restrictive and obstructive pulmonary diseases using spirometry data. Arabalibeik H, Khomami MH, Agin K, Setayeshi S. Stud Health Technol Inform; 2009 Jan; 142():25-7. PubMed ID: 19377105 [Abstract] [Full Text] [Related]