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Comparison of machine-learning algorithms efficiency to build a predictive model for mortality risk in COVID-19 hospitalized patients

Author(s):
Mostafa ShanbehzadehMostafa Shanbehzadeh1, Ali ValinejadiAli Valinejadi2, Ramin AfrahRamin Afrah1, Hadi KazemiArpanahiHadi KazemiArpanahi3,*, Azam OroojiAzam Orooji4, Mohammadreza KaffashianMohammadreza Kaffashian5
1Dept.of Biomedical Engineering, Faculty of Advanced Technologies, Isfahan University of Medical Sciences, Isfahan, Iran
2Dept.of Health Information Technology, School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran
3Dept.of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran
4Dept.of Advanced Technologies, Faculty of Medicine, North Khorasan University of Medical Science (NKUMS), Bojnourd, Iran
5Dept.of Physiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran


Koomesh:Vol. 24, issue 1; e154100
Published online:Mar 24, 2022
Article type:Research Article
How to Cite:Mostafa ShanbehzadehAli ValinejadiRamin AfrahHadi KazemiArpanahiAzam OroojiMohammadreza Kaffashianet al.Comparison of machine-learning algorithms efficiency to build a predictive model for mortality risk in COVID-19 hospitalized patients.koomesh.24(1):e154100.

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