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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

184 related items for PubMed ID: 10384505

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  • 2. A comparison of performance of mathematical predictive methods for medical diagnosis: identifying acute cardiac ischemia among emergency department patients.
    Selker HP, Griffith JL, Patil S, Long WJ, D'Agostino RB.
    J Investig Med; 1995 Oct; 43(5):468-76. PubMed ID: 8528758
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  • 4. A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality.
    Austin PC.
    Stat Med; 2007 Jul 10; 26(15):2937-57. PubMed ID: 17186501
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  • 6. Predicting carcinoid heart disease with the noisy-threshold classifier.
    van Gerven MA, Jurgelenaite R, Taal BG, Heskes T, Lucas PJ.
    Artif Intell Med; 2007 May 10; 40(1):45-55. PubMed ID: 17098402
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  • 7. Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches.
    Son CS, Kim YN, Kim HS, Park HS, Kim MS.
    J Biomed Inform; 2012 Oct 10; 45(5):999-1008. PubMed ID: 22564550
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  • 8. A decision support system to facilitate management of patients with acute gastrointestinal bleeding.
    Chu A, Ahn H, Halwan B, Kalmin B, Artifon EL, Barkun A, Lagoudakis MG, Kumar A.
    Artif Intell Med; 2008 Mar 10; 42(3):247-59. PubMed ID: 18063351
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  • 10. 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 10; 42(1):37-53. PubMed ID: 17997291
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  • 11. A comparison of logistic regression to decision tree induction in the diagnosis of carpal tunnel syndrome.
    Rudolfer SM, Paliouras G, Peers IS.
    Comput Biomed Res; 1999 Oct 10; 32(5):391-414. PubMed ID: 10529299
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  • 12. Using neural networks and just nine patient-reportable factors of screen for AMI.
    Bulgiba AM, Fisher MH.
    Health Informatics J; 2006 Sep 10; 12(3):213-25. PubMed ID: 17023409
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  • 14. Classification of EEG signals using neural network and logistic regression.
    Subasi A, Erçelebi E.
    Comput Methods Programs Biomed; 2005 May 10; 78(2):87-99. PubMed ID: 15848265
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  • 15. Performance comparison between Logistic regression, decision trees, and multilayer perceptron in predicting peripheral neuropathy in type 2 diabetes mellitus.
    Li CP, Zhi XY, Ma J, Cui Z, Zhu ZL, Zhang C, Hu LP.
    Chin Med J (Engl); 2012 Mar 10; 125(5):851-7. PubMed ID: 22490586
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  • 16. Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive impairment.
    James KE, White RF, Kraemer HC.
    Stat Med; 2005 Oct 15; 24(19):3019-35. PubMed ID: 16149128
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  • 19. Mortality assessment in intensive care units via adverse events using artificial neural networks.
    Silva A, Cortez P, Santos MF, Gomes L, Neves J.
    Artif Intell Med; 2006 Mar 15; 36(3):223-34. PubMed ID: 16213693
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  • 20. Evaluating the ability of tree-based methods and logistic regression for the detection of SNP-SNP interaction.
    García-Magariños M, López-de-Ullibarri I, Cao R, Salas A.
    Ann Hum Genet; 2009 May 15; 73(Pt 3):360-9. PubMed ID: 19291098
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