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A machine learning method for incomplete and imbalanced medical data
SYS 0484058 LBL 01000a^^22220027750^450 005 20240103215257.4 014 $a 000418391500021 $2 WOS 017 $2 DOI 100 $a 20180104d m y slo 03 ba 101 $a eng $d eng 102 $a CZ 200 1-
$a A machine learning method for incomplete and imbalanced medical data 215 $a 8 s. $c P 463 -1
$1 001 cav_un_epca*0484057 $1 010 $a 978-80-7464-932-5 $1 200 1 $a Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, CZECH-JAPAN SEMINAR 2017 $v S. 188-195 $1 210 $a Ostrava $c University of Ostrava $d 2017 $1 702 1 $4 340 $a Novák $b Vilém $1 702 1 $4 340 $a Inuiguchi $b Masahiro $1 702 1 $4 340 $a Štěpnička $b Martin 610 $a Machine Learning 610 $a Data Analysis 610 $a Bayesian networks 610 $a Imbalanced Data 610 $a Acute Myocardial Infarction 700 -1
$3 cav_un_auth*0355858 $4 070 $9 70 $a Salman $b I. $y SY 701 -1
$3 cav_un_auth*0101228 $i Matematická teorie rozhodování $j Department of Decision Making Theory $k MTR $l MTR $w Department of Decision Making Theory $9 30 $a Vomlel $b Jiří $p UTIA-B $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2017/MTR/vomlel-0484058.pdf
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