Institute of Information Theory and Automation

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Bibliography

Conference Paper (international conference)

Machine Learning Methods for Mortality Prediction in Patients with ST Elevation Myocardial Infarction

Vomlel Jiří, Kružík H., Tůma P., Přeček J., Hutyra M.

: Proceedings of The Ninth Workshop on Uncertainty Processing, p. 204-213 , Eds: Kroupa Tomáš, Vejnarová Jiřina

: The Ninth Workshop on Uncertainty Processing, (Mariánské Lázně, CZ, 12.09.2012-15.09.2012)

: GA201/08/0539, GA ČR

: Machine Learning, Acute Myocardial Infarction, Mortality Prediction

: http://library.utia.cas.cz/separaty/2012/MTR/vomlel-machine learning methods for mortality prediction in patients with st elevation myocardial infarction.pdf

(eng): ST Elevation Myocardial Infarction (STEMI) is the leading cause of death in developed countries. The objective of our research is to design and verify a predictive model of hospital mortality in STEMI based on clinical data about patients that could serve as a benchmark for evaluation of healthcare providers. In this paper we present results of an experimental evaluation of different machine learning methods on a real data about 603 patients from University Hospital in Olomouc.

: JD

2019-01-07 08:39