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Comparison of Random Forest and Artificial Neural Network Models to Evaluate Diagnostic Factors in the Necessity to Perform Angiography

Author(s):
Parastoo GolpourParastoo GolpourParastoo Golpour ORCID1, Mohammad  TajfardMohammad TajfardMohammad  Tajfard ORCID2, 3, Majid  Ghayour-MobarhanMajid Ghayour-MobarhanMajid  Ghayour-Mobarhan ORCID4, 5, Mohsen  MoohebatiMohsen Moohebati6, Ali  TaghipourAli TaghipourAli  Taghipour ORCID1, habibollah Esmailyhabibollah Esmailyhabibollah Esmaily ORCID2, Sara Sabbaghian TousiSara Sabbaghian TousiSara Sabbaghian Tousi ORCID1,*
1Department of Epidemiology and Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, IR Iran
2Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, IR Iran
3Department of Health Education and Health Promotion, Faculty of Health, Mashhad University of Medical Sciences, Mashhad, IR Iran
4International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, IR Iran
5Metabolic Syndrome Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, IR Iran
6Cardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, IR Iran


International Cardiovascular Research Journal:Vol. 16, issue 2; e122437
Published online:Jun 15, 2022
Article type:Research Article
Received:Jan 05, 2022
Accepted:May 29, 2022
How to Cite:Parastoo GolpourMohammad TajfardMajid Ghayour-MobarhanMohsen MoohebatiAli Taghipourhabibollah EsmailySara Sabbaghian Tousiet al.Comparison of Random Forest and Artificial Neural Network Models to Evaluate Diagnostic Factors in the Necessity to Perform Angiography.Int Cardiovasc Res J.16(2):e122437.

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