0380997 20240111140820.220121101235959.9 10 s. E cav_un_epca*0380996978-80-245-1885-5204-213PragueFaculty of Management, University of Economics, Prague2012KroupaTomášVejnarováJiřina Machine Learning Acute Myocardial Infarction Mortality Prediction cav_un_auth*0101228 Vomlel Jiří Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0277073 Kružík H. CZ cav_un_auth*0019182 Tůma P. CZ cav_un_auth*0283707 Přeček J. CZ cav_un_auth*0283708 Hutyra M. CZ PDF soubor http://library.utia.cas.cz/separaty/2012/MTR/vomlel-machine learning methods for mortality prediction in patients with st elevation myocardial infarction.pdf 300 kB GA201/08/0539 GA ČR cav_un_auth*0239648 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. cav_un_auth*0283709 The Ninth Workshop on Uncertainty Processing Mariánské Lázně 12.09.2012-15.09.2012 CZ 2013 JD 5 PR RVO:67985556 http://hdl.handle.net/11104/0211570 2012 PDF soubor 300 kB cav_un_epca*0380996 Proceedings of The Ninth Workshop on Uncertainty Processing 978-80-245-1885-5 204 213 Prague Faculty of Management, University of Economics, Prague 2012 Kroupa Tomáš 340 Vejnarová Jiřina 340