World Journal of Nephrology - Baishideng Publishing Group

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For:	Salgado C, Gonzalez Cohens F, Vera FA, Ruiz R, Velasquez JD, Gonzalez FM. Prediction of graft outcomes after kidney transplantation: When standard statistics compare to machine learning techniques. World J Nephrol 2026; 15(1): 116879 [PMID: 41884255 DOI: 10.5527/wjn.v15.i1.116879]
URL:	https://www.wjgnet.com/2220-6124/full/v15/i1/116879.htm

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Number	Citing Articles
1	Muhammad Abdul Mabood Khalil, Nihal Mohammed Sadagah, Jackson Tan, Salem H Al-Qurashi. Predicting delayed graft function after kidney transplant: Do complex models help compared to standard statistics?. World Journal of Nephrology 2026; 15(3): 120300 doi: 10.5527/wjn.120300 Abstract(13) \| Core Tip(12) \| Full Article(HTML)(77) \| Full Article (PDF)-408K(6) \| Full Article with Cover (PDF)-696K(5) \| Full Article (XML)-84K(5) \| Audio-499K(0) \| Peer-Review Report-284K(9) \| Answering Reviewers-410K(7) \| Times Cited (0) \| Total Visits (102) \| Open

Number

Citing Articles

Muhammad Abdul Mabood Khalil, Nihal Mohammed Sadagah, Jackson Tan, Salem H Al-Qurashi. Predicting delayed graft function after kidney transplant: Do complex models help compared to standard statistics?. World Journal of Nephrology 2026; 15(3): 120300 doi: 10.5527/wjn.120300

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