Multivariate modeling to identify patterns in clinical data: the example of chest pain-Reference-Cited by-同舟云学术

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Multivariate modeling to identify patterns in clinical data: the example of chest pain

Published:2011-11-22 Issue:1 Volume:11 Page:
ISSN:1471-2288
Container-title:BMC Medical Research Methodology
language:en
Short-container-title:BMC Med Res Methodol

Author:

Hirsch Oliver,Bösner Stefan,Hüllermeier Eyke,Senge Robin,Dembczynski Krzysztof,Donner-Banzhoff Norbert

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Epidemiology

Link

http://link.springer.com/article/10.1186/1471-2288-11-155/fulltext.html

Reference28 articles.

1. DeVon HA, Ryan CJ, Rankin SH, Cooper BA: Classifying subgroups of patients with symptoms of acute coronary syndromes: A cluster analysis. Res Nurs Health. 2010, 33 (5): 386-397. 10.1002/nur.20395.

2. Bösner S, Becker A, Haasenritter J, Abu Hani M, Keller H, Sönnichsen AC, Karatolios K, Schaefer JR, Seitz G, Baum E, et al: Chest pain in primary care: Epidemiology and pre-work-up probabilities. Eur J Gen Pract. 2009, 15 (3): 141-146. 10.3109/13814780903329528.

3. Bösner S, Becker A, Abu Hani M, Keller H, Sonnichsen AC, Haasenritter J, Karatolios K, Schaefer JR, Baum E, Donner-Banzhoff N: Accuracy of symptoms and signs for coronary heart disease assessed in primary care. Br J Gen Pract. 2010, 60 (575): 246-257. 10.3399/bjgp10X502137.

4. Rutten FH, Kessels AG, Willems FF, Hoes AW: Electrocardiography in primary care; is it useful?. Int J Cardiol. 2000, 74 (2-3): 199-205. 10.1016/S0167-5273(00)00284-9.

5. Gill CJ, Sabin L, Schmid CH: Why clinicians are natural bayesians. BMJ. 2005, 330 (7499): 1080-1083. 10.1136/bmj.330.7499.1080.

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