195 related articles for article (PubMed ID: 15967731)
1. 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
[TBL] [Abstract][Full Text] [Related]
2. 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
[TBL] [Abstract][Full Text] [Related]
3. 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
[TBL] [Abstract][Full Text] [Related]
4. Predicting dire outcomes of patients with community acquired pneumonia.
Cooper GF; Abraham V; Aliferis CF; Aronis JM; Buchanan BG; Caruana R; Fine MJ; Janosky JE; Livingston G; Mitchell T; Monti S; Spirtes P
J Biomed Inform; 2005 Oct; 38(5):347-66. PubMed ID: 16198995
[TBL] [Abstract][Full Text] [Related]
5. A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method.
Zou KH; Resnic FS; Talos IF; Goldberg-Zimring D; Bhagwat JG; Haker SJ; Kikinis R; Jolesz FA; Ohno-Machado L
J Biomed Inform; 2005 Oct; 38(5):395-403. PubMed ID: 16198998
[TBL] [Abstract][Full Text] [Related]
6. Factors predicting survival after transjugular intrahepatic portosystemic shunt creation: 15 years' experience from a single tertiary medical center.
Pan JJ; Chen C; Caridi JG; Geller B; Firpi R; Machicao VI; Hawkins IF; Soldevila-Pico C; Nelson DR; Morelli G
J Vasc Interv Radiol; 2008 Nov; 19(11):1576-81. PubMed ID: 18789725
[TBL] [Abstract][Full Text] [Related]
7. Dynamic Bayesian networks as prognostic models for clinical patient management.
van Gerven MA; Taal BG; Lucas PJ
J Biomed Inform; 2008 Aug; 41(4):515-29. PubMed ID: 18337188
[TBL] [Abstract][Full Text] [Related]
8. 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
[TBL] [Abstract][Full Text] [Related]
9. Feature subset selection by genetic algorithms and estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with TIPS.
Inza I; Merino M; Larrañaga P; Quiroga J; Sierra B; Girala M
Artif Intell Med; 2001 Oct; 23(2):187-205. PubMed ID: 11583925
[TBL] [Abstract][Full Text] [Related]
10. Prognostic Bayesian networks I: rationale, learning procedure, and clinical use.
Verduijn M; Peek N; Rosseel PM; de Jonge E; de Mol BA
J Biomed Inform; 2007 Dec; 40(6):609-18. PubMed ID: 17704008
[TBL] [Abstract][Full Text] [Related]
11. [MELD score in prediction of early mortality in patients suffering refractory ascites treated by TIPS].
Fejfar T; Safka V; Hůlek P; Vanásek T; Krajina A; Jirkovský V
Vnitr Lek; 2006 Sep; 52(9):771-6. PubMed ID: 17091599
[TBL] [Abstract][Full Text] [Related]
12. Budd-Chiari syndrome: long-term effect on outcome with transjugular intrahepatic portosystemic shunt.
Khuroo MS; Al-Suhabani H; Al-Sebayel M; Al Ashgar H; Dahab S; Khan MQ; Khalaf HA
J Gastroenterol Hepatol; 2005 Oct; 20(10):1494-502. PubMed ID: 16174064
[TBL] [Abstract][Full Text] [Related]
13. Cirrhotic patients with a transjugular intrahepatic portosystemic shunt undergoing major extrahepatic surgery.
Kim JJ; Dasika NL; Yu E; Fontana RJ
J Clin Gastroenterol; 2009 Jul; 43(6):574-9. PubMed ID: 19169145
[TBL] [Abstract][Full Text] [Related]
14. Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods.
Cho BH; Yu H; Kim KW; Kim TH; Kim IY; Kim SI
Artif Intell Med; 2008 Jan; 42(1):37-53. PubMed ID: 17997291
[TBL] [Abstract][Full Text] [Related]
15. Nomographic representation of logistic regression models: a case study using patient self-assessment data.
Dreiseitl S; Harbauer A; Binder M; Kittler H
J Biomed Inform; 2005 Oct; 38(5):389-94. PubMed ID: 16198997
[TBL] [Abstract][Full Text] [Related]
16. 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
[TBL] [Abstract][Full Text] [Related]
17. Predictors of early mortality after transjugular intrahepatic portosystemic shunt creation for the treatment of refractory ascites.
Harrod-Kim P; Saad WE; Waldman D
J Vasc Interv Radiol; 2006 Oct; 17(10):1605-10. PubMed ID: 17057001
[TBL] [Abstract][Full Text] [Related]
18. Prognostic role of the initial portal pressure gradient reduction after TIPS in patients with cirrhosis.
Biecker E; Roth F; Heller J; Schild HH; Sauerbruch T; Schepke M
Eur J Gastroenterol Hepatol; 2007 Oct; 19(10):846-52. PubMed ID: 17873607
[TBL] [Abstract][Full Text] [Related]
19. 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; 7():514. PubMed ID: 17125514
[TBL] [Abstract][Full Text] [Related]
20. Transjugular intrahepatic portosystemic shunts in liver transplant recipients.
Kim JJ; Dasika NL; Yu E; Fontana RJ
Liver Int; 2008 Feb; 28(2):240-8. PubMed ID: 18251981
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]