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Items: 1 to 20 of 105

1.
2.

A comparison of classification algorithms to automatically identify chest X-ray reports that support pneumonia.

Chapman WW, Fizman M, Chapman BE, Haug PJ.

J Biomed Inform. 2001 Feb;34(1):4-14.

3.

Automatic detection of acute bacterial pneumonia from chest X-ray reports.

Fiszman M, Chapman WW, Aronsky D, Evans RS, Haug PJ.

J Am Med Inform Assoc. 2000 Nov-Dec;7(6):593-604.

4.

Automatic identification of pneumonia related concepts on chest x-ray reports.

Fiszman M, Chapman WW, Evans SR, Haug PJ.

Proc AMIA Symp. 1999:67-71.

5.

Classification algorithms applied to narrative reports.

Wilcox A, Hripcsak G.

Proc AMIA Symp. 1999:455-9.

6.

On machine learning classification of otoneurological data.

Juhola M.

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

PMID:
18487733
7.

The role of domain knowledge in automating medical text report classification.

Wilcox AB, Hripcsak G.

J Am Med Inform Assoc. 2003 Jul-Aug;10(4):330-8. Epub 2003 Mar 28.

8.

On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks.

Velikova M, Lucas PJ, Samulski M, Karssemeijer N.

Artif Intell Med. 2013 Jan;57(1):73-86. doi: 10.1016/j.artmed.2012.12.004. Epub 2013 Feb 7.

PMID:
23395008
9.

NLP-based identification of pneumonia cases from free-text radiological reports.

Elkin PL, Froehling D, Wahner-Roedler D, Trusko B, Welsh G, Ma H, Asatryan AX, Tokars JI, Rosenbloom ST, Brown SH.

AMIA Annu Symp Proc. 2008 Nov 6:172-6.

10.

Diagnostic games: from adequate formalization of clinical experience to structure discovery.

Shifrin MA, Kasparova EI.

Stud Health Technol Inform. 2008;136:265-70.

PMID:
18487742
11.

A probabilistic approach to improved antibiotic therapy.

de Bruijn N, Lucas P, Schurink K, Hoepelman A.

Stud Health Technol Inform. 1999;68:690-5.

PMID:
10724980
12.

Combining decision support methodologies to diagnose pneumonia.

Aronsky D, Fiszman M, Chapman WW, Haug PJ.

Proc AMIA Symp. 2001:12-6.

13.

Incorporating expert knowledge when learning Bayesian network structure: a medical case study.

Julia Flores M, Nicholson AE, Brunskill A, Korb KB, Mascaro S.

Artif Intell Med. 2011 Nov;53(3):181-204. doi: 10.1016/j.artmed.2011.08.004. Epub 2011 Sep 29.

PMID:
21958683
14.

Identifying wrist fracture patients with high accuracy by automatic categorization of X-ray reports.

de Bruijn B, Cranney A, O'Donnell S, Martin JD, Forster AJ.

J Am Med Inform Assoc. 2006 Nov-Dec;13(6):696-8. Epub 2006 Aug 23.

15.
16.

A decision aid for diagnosis of liver lesions on MRI.

Tombropoulos R, Shiffman S, Davidson C.

Proc Annu Symp Comput Appl Med Care. 1993:439-43.

17.

Assessing the behavioral impact of a diagnostic decision support system.

Li YC, Haug PJ, Lincoln MJ, Turner CW, Pryor TA, Warner HH.

Proc Annu Symp Comput Appl Med Care. 1995:805-9.

18.

Comparing decision support methodologies for identifying asthma exacerbations.

Dexheimer JW, Brown LE, Leegon J, Aronsky D.

Stud Health Technol Inform. 2007;129(Pt 2):880-4.

PMID:
17911842
19.

[The application and development of artificial intelligence in medical diagnosis systems].

Chen Z, Jiang Y, Xu M, Wang H, Jiang D.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2002 Sep;19(3):505-9. Review. Chinese.

PMID:
12557534
20.

Medical knowledge representation system.

Buchtela D, Peleska J, Zvolsky M, Zvarova J.

Stud Health Technol Inform. 2008;136:377-82.

PMID:
18487760

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