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Items: 1 to 20 of 67

1.

Naïve Bayesian Classifier and Genetic Risk Score for Genetic Risk Prediction of a Categorical Trait: Not so Different after all!

Sebastiani P, Solovieff N, Sun JX.

Front Genet. 2012 Feb 29;3:26. doi: 10.3389/fgene.2012.00026. eCollection 2012.

2.

A Pairwise Naïve Bayes Approach to Bayesian Classification.

Asafu-Adjei JK, Betensky RA.

Intern J Pattern Recognit Artif Intell. 2015 Oct 1;29(7). pii: 1550023. Epub 2015 Jul 28.

3.

Drug-likeness analysis of traditional Chinese medicines: prediction of drug-likeness using machine learning approaches.

Tian S, Wang J, Li Y, Xu X, Hou T.

Mol Pharm. 2012 Oct 1;9(10):2875-86. Epub 2012 Sep 20.

PMID:
22738405
4.

Absorption, Distribution, Metabolism, Excretion, and Toxicity Evaluation in Drug Discovery. 14. Prediction of Human Pregnane X Receptor Activators by Using Naive Bayesian Classification Technique.

Shi H, Tian S, Li Y, Li D, Yu H, Zhen X, Hou T.

Chem Res Toxicol. 2015 Jan 20;28(1):116-25. doi: 10.1021/tx500389q. Epub 2014 Dec 26.

PMID:
25495542
5.

Continuous time Bayesian network classifiers.

Stella F, Amer Y.

J Biomed Inform. 2012 Dec;45(6):1108-19. doi: 10.1016/j.jbi.2012.07.002. Epub 2012 Jul 28.

6.

Evolving a Bayesian Classifier for ECG-based Age Classification in Medical Applications.

Wiggins M, Saad A, Litt B, Vachtsevanos G.

Appl Soft Comput. 2008 Jan;8(1):599-608.

7.

A framework for personalized medicine: prediction of drug sensitivity in cancer by proteomic profiling.

Kim DC, Wang X, Yang CR, Gao JX.

Proteome Sci. 2012 Jun 21;10 Suppl 1:S13. doi: 10.1186/1477-5956-10-S1-S13.

8.

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. Epub 2005 Jun 4.

9.

Evaluation of classifiers that score linear type traits and body condition score using common sires.

Veerkamp RF, Gerritsen CL, Koenen EP, Hamoen A, De Jong G.

J Dairy Sci. 2002 Apr;85(4):976-83.

PMID:
12018444
10.

Fuzzy Naive Bayesian for constructing regulated network with weights.

Zhou XY, Tian XW, Lim JS.

Biomed Mater Eng. 2015;26 Suppl 1:S1757-62. doi: 10.3233/BME-151476.

PMID:
26405944
11.

Multi-objective evolutionary algorithms for fuzzy classification in survival prediction.

Jiménez F, Sánchez G, Juárez JM.

Artif Intell Med. 2014 Mar;60(3):197-219. doi: 10.1016/j.artmed.2013.12.006. Epub 2014 Jan 9.

PMID:
24525210
12.

Bayesian classifiers applied to the Tennessee Eastman process.

Dos Santos EB, Ebecken NF, Hruschka ER Jr, Elkamel A, Madhuranthakam CM.

Risk Anal. 2014 Mar;34(3):485-97. doi: 10.1111/risa.12112. Epub 2013 Oct 1.

PMID:
24117732
13.
14.

A Novel Feature Selection Technique for Text Classification Using Naïve Bayes.

Dey Sarkar S, Goswami S, Agarwal A, Aktar J.

Int Sch Res Notices. 2014 Oct 28;2014:717092. doi: 10.1155/2014/717092. eCollection 2014.

15.

A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays.

Demichelis F, Magni P, Piergiorgi P, Rubin MA, Bellazzi R.

BMC Bioinformatics. 2006 Nov 24;7:514.

16.

Biomarker selection and classification of "-omics" data using a two-step bayes classification framework.

Assawamakin A, Prueksaaroon S, Kulawonganunchai S, Shaw PJ, Varavithya V, Ruangrajitpakorn T, Tongsima S.

Biomed Res Int. 2013;2013:148014. doi: 10.1155/2013/148014. Epub 2013 Sep 11.

17.

Textual and visual content-based anti-phishing: a Bayesian approach.

Zhang H, Liu G, Chow TW, Liu W.

IEEE Trans Neural Netw. 2011 Oct;22(10):1532-46. doi: 10.1109/TNN.2011.2161999. Epub 2011 Aug 4.

PMID:
21824844
18.

Selection of human embryos for transfer by Bayesian classifiers.

Morales DA, Bengoetxea E, Larrañaga P.

Comput Biol Med. 2008 Nov-Dec;38(11-12):1177-86. doi: 10.1016/j.compbiomed.2008.09.002. Epub 2008 Oct 31.

PMID:
18951123
19.

Bayesian methods for multivariate modeling of pleiotropic SNP associations and genetic risk prediction.

Hartley SW, Monti S, Liu CT, Steinberg MH, Sebastiani P.

Front Genet. 2012 Sep 11;3:176. doi: 10.3389/fgene.2012.00176. eCollection 2012.

20.

A comparative study of support vector machine, artificial neural network and bayesian classifier for mutagenicity prediction.

Sharma A, Kumar R, Varadwaj PK, Ahmad A, Ashraf GM.

Interdiscip Sci. 2011 Sep;3(3):232-9. doi: 10.1007/s12539-011-0102-9. Epub 2011 Jun 14.

PMID:
21956745

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