Prognostic Features for Overall Survival in Male Diabetic Patients Undergoing Hemodialysis Using Elastic Net Penalized Cox Regression; A Machine Learning Approach

Mehrdad Sharifi ¹ , Razieh Sadat Mousavi-Roknabadi ^2,3,4 , Vahid Ebrahimi ² * , Robab Sadegh ¹ , Afsaneh Dehbozorgi ¹ , Seyed Rouhollah Hosseini-Marvast ¹, Mojtaba Mokdad ⁵

Cited by CrossRef:

1- Sessa C, Lomeo E, Morale W, Gianni T, Bonerba B, Grandaliano G, Pesce F. Artificial Intelligence and Sensing Technologies for Vascular Access in Hemodialysis: A Narrative Review. Sensors. 2026;26(19):6089 [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.