Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model Tree

Fariba Asadi ¹ , Reza Homayounfar ², Mojtaba Farjam ³, Yaser Mehrali ⁴, Fatemeh Masaebi ¹, Farid Zayeri ⁵ *

Cited by CrossRef: 1

1- Asadi F, Homayounfar R, Mehrali Y, Masci C, Talebi S, Zayeri F. Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms. Sci Rep. 2024;14(1) [Crossref]

2- Fransiska H, Notodiputro K, Sartono B, Jayanegara A, Abu Hassim H, Iqbal N. GLMM and GLMM trees for school dropout modeling in Bengkulu Province. BIO Web Conf. 2025;186:03010 [Crossref]

3- Holtrop J, Gynnild M, Dammen T, Dalen H, Saltvedt I, Ellekjær H, Hageman S, Visseren F, McEvoy J, Dorresteijn J, Munkhaugen J. Psychological factors beyond the SMART2 model for predicting recurrent events in atherosclerotic cardiovascular disease patients. 2025; [Crossref]

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A Monthly Peer-Reviewed Medical Journal Published by the Academy of Medical Sciences of the I.R. Iran; Indexed in PubMed/MEDLINE, ISI Web of Science, EMBASE, SCOPUS, CINHAL, PASCAL, CSA, SID, ISSN: Print 1029-2977, Online 1735-3947.The impact factor of Archives of Iranian Medicine according to Journal Citation Reports® (JCR®) 2016 is 1.20.