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

Overview of attention for article published in BMC Medical Research Methodology, November 2011
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Title
Multivariate modeling to identify patterns in clinical data: the example of chest pain
Published in
BMC Medical Research Methodology, November 2011
DOI 10.1186/1471-2288-11-155
Pubmed ID
Authors

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

Abstract

In chest pain, physicians are confronted with numerous interrelationships between symptoms and with evidence for or against classifying a patient into different diagnostic categories. The aim of our study was to find natural groups of patients on the basis of risk factors, history and clinical examination data which should then be validated with patients' final diagnoses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Argentina 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Master 7 15%
Student > Ph. D. Student 6 13%
Student > Bachelor 5 11%
Student > Postgraduate 3 7%
Other 5 11%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Computer Science 5 11%
Business, Management and Accounting 3 7%
Mathematics 3 7%
Agricultural and Biological Sciences 2 4%
Other 10 22%
Unknown 13 28%