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Items: 1 to 20 of 79

1.

A hybrid approach to determining modification of clinical diagnoses.

Pakhomov S, Chute CG.

AMIA Annu Symp Proc. 2006:609-13.

2.

Identifying smokers with a medical extraction system.

Clark C, Good K, Jezierny L, Macpherson M, Wilson B, Chajewska U.

J Am Med Inform Assoc. 2008 Jan-Feb;15(1):36-9. Epub 2007 Oct 18.

3.

Simple models for estimating dementia severity using machine learning.

Shankle WR, Mania S, Dick MB, Pazzani MJ.

Stud Health Technol Inform. 1998;52 Pt 1:472-6.

PMID:
10384501
4.

A comparative study of supervised learning as applied to acronym expansion in clinical reports.

Joshi M, Pakhomov S, Pedersen T, Chute CG.

AMIA Annu Symp Proc. 2006:399-403.

5.

Application of autonomous neural network systems to medical pattern classification tasks.

Lim CP, Harrison RF, Kennedy RL.

Artif Intell Med. 1997 Nov;11(3):215-39.

PMID:
9413607
6.
7.

Computer-aided diagnosis system: a Bayesian hybrid classification method.

Calle-Alonso F, Pérez CJ, Arias-Nicolás JP, Martín J.

Comput Methods Programs Biomed. 2013 Oct;112(1):104-13. doi: 10.1016/j.cmpb.2013.05.029. Epub 2013 Aug 7.

PMID:
23932384
8.

Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data.

Sierra B, Serrano N, Larrañaga P, Plasencia EJ, Inza I, Jiménez JJ, Revuelta P, Mora ML.

Artif Intell Med. 2001 Jun;22(3):233-48.

PMID:
11377149
9.

On machine learning classification of otoneurological data.

Juhola M.

Stud Health Technol Inform. 2008;136:211-6.

PMID:
18487733
10.

Induction of decision trees and Bayesian classification applied to diagnosis of sport injuries.

Zelic I, Kononenko I, Lavrac N, Vuga V.

J Med Syst. 1997 Dec;21(6):429-44.

PMID:
9555629
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.

Seminal quality prediction using data mining methods.

Sahoo AJ, Kumar Y.

Technol Health Care. 2014;22(4):531-45. doi: 10.3233/THC-140816.

PMID:
24898862
13.

Prospective recruitment of patients with congestive heart failure using an ad-hoc binary classifier.

Pakhomov SV, Buntrock J, Chute CG.

J Biomed Inform. 2005 Apr;38(2):145-53.

14.

Automatic classification of protein structures using physicochemical parameters.

Mohan A, Rao MD, Sunderrajan S, Pennathur G.

Interdiscip Sci. 2014 Sep;6(3):176-86. doi: 10.1007/s12539-013-0199-0. Epub 2014 Sep 11.

PMID:
25205495
15.

Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.

Gobbel GT, Reeves R, Jayaramaraja S, Giuse D, Speroff T, Brown SH, Elkin PL, Matheny ME.

J Biomed Inform. 2014 Apr;48:54-65. doi: 10.1016/j.jbi.2013.11.008. Epub 2013 Dec 4.

16.

Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques.

Pakhomov SV, Buntrock JD, Chute CG.

J Am Med Inform Assoc. 2006 Sep-Oct;13(5):516-25. Epub 2006 Jun 23.

17.

Rule induction and instance-based learning applied in medical diagnosis.

Dzeroski S, Lavrac N.

Technol Health Care. 1996 Aug;4(2):203-21.

PMID:
8885098
18.

A comparison of supervised classification methods for auditory brainstem response determination.

McCullagh P, Wang H, Zheng H, Lightbody G, McAllister G.

Stud Health Technol Inform. 2007;129(Pt 2):1289-93.

PMID:
17911922
19.

Mutual information preconditioning improves structure learning of Bayesian networks from medical databases.

Meloni A, Ripoli A, Positano V, Landini L.

IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):984-9. doi: 10.1109/TITB.2009.2026273. Epub 2009 Jul 28.

PMID:
19643716
20.

Using implicit information to identify smoking status in smoke-blind medical discharge summaries.

Wicentowski R, Sydes MR.

J Am Med Inform Assoc. 2008 Jan-Feb;15(1):29-31. Epub 2007 Oct 18.

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