bibtype C - Conference Paper (international conference)
ARLID 0380997
utime 20240111140820.2
mtime 20121101235959.9
title (primary) (eng) Machine Learning Methods for Mortality Prediction in Patients with ST Elevation Myocardial Infarction
specification
page_count 10 s.
media_type E
serial
ARLID cav_un_epca*0380996
ISBN 978-80-245-1885-5
title Proceedings of The Ninth Workshop on Uncertainty Processing
page_num 204-213
publisher
place Prague
name Faculty of Management, University of Economics, Prague
year 2012
editor
name1 Kroupa
name2 Tomáš
editor
name1 Vejnarová
name2 Jiřina
keyword Machine Learning
keyword Acute Myocardial Infarction
keyword Mortality Prediction
author (primary)
ARLID cav_un_auth*0101228
name1 Vomlel
name2 Jiří
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0277073
name1 Kružík
name2 H.
country CZ
author
ARLID cav_un_auth*0019182
name1 Tůma
name2 P.
country CZ
author
ARLID cav_un_auth*0283707
name1 Přeček
name2 J.
country CZ
author
ARLID cav_un_auth*0283708
name1 Hutyra
name2 M.
country CZ
source
source_type PDF soubor
url http://library.utia.cas.cz/separaty/2012/MTR/vomlel-machine learning methods for mortality prediction in patients with st elevation myocardial infarction.pdf
source_size 300 kB
cas_special
project
project_id GA201/08/0539
agency GA ČR
ARLID cav_un_auth*0239648
abstract (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.
action
ARLID cav_un_auth*0283709
name The Ninth Workshop on Uncertainty Processing
place Mariánské Lázně
dates 12.09.2012-15.09.2012
country CZ
reportyear 2013
RIV JD
num_of_auth 5
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0211570
arlyear 2012
mrcbU56 PDF soubor 300 kB
mrcbU63 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
mrcbU67 Kroupa Tomáš 340
mrcbU67 Vejnarová Jiřina 340