Predictive performance of machine learning models for kidney complications following coronary interventions: a systematic review and meta-analysis.

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Title: Predictive performance of machine learning models for kidney complications following coronary interventions: a systematic review and meta-analysis.
Authors: Najdaghi S; Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran. Soroush.najdaghi@yahoo.com., Davani DN; Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran., Shafie D; Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran., Alizadehasl A; Cardio-Oncology Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, 995614331, Iran.
Source: International urology and nephrology [Int Urol Nephrol] 2025 Mar; Vol. 57 (3), pp. 855-874. Date of Electronic Publication: 2024 Oct 31.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 0262521 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2584 (Electronic) Linking ISSN: 03011623 NLM ISO Abbreviation: Int Urol Nephrol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Najdaghi+S%22">Najdaghi S</searchLink>; Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran. Soroush.najdaghi@yahoo.com.<br /><searchLink fieldCode="AU" term="%22Davani+DN%22">Davani DN</searchLink>; Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran.<br /><searchLink fieldCode="AU" term="%22Shafie+D%22">Shafie D</searchLink>; Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran.<br /><searchLink fieldCode="AU" term="%22Alizadehasl+A%22">Alizadehasl A</searchLink>; Cardio-Oncology Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, 995614331, Iran.
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  Data: <searchLink fieldCode="JN" term="%220262521%22">International urology and nephrology</searchLink> [Int Urol Nephrol] 2025 Mar; Vol. 57 (3), pp. 855-874. <i>Date of Electronic Publication: </i>2024 Oct 31.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0262521 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2584 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203011623%22">03011623 </searchLink><i>NLM ISO Abbreviation: </i>Int Urol Nephrol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11255-024-04257-5
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        Text: English
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      – TitleFull: Predictive performance of machine learning models for kidney complications following coronary interventions: a systematic review and meta-analysis.
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              Text: 2025 Mar
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