Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool.

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Bibliographic Details
Title: Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool.
Authors: Alshwayyat S; Kern Medical (UCLA David Geffen School of Medicine Affiliate), Bakersfield, CA, USA.; King Hussein Cancer Center, Amman, Jordan.; Applied Science Research Center, Applied Science Private University, Amman, Jordan., Almasri N; University of Jordan, Amman, Jordan., Alshwaiyat Y; Jordan University of Science and Technology, Irbid, Jordan., Alshwayyat TA; Princess Basma Teaching Hospital, Irbid, Jordan., AlAwwa R; Biopharmaceuticals Department, Uppsala University, Uppsala, Sweden.; Faculty of Pharmacy, University of Jordan, Amman, Jordan., Alshwayyat M; Faculty of Medicine, Jordan University of Science & Technology, P.O Box 3030, Irbid, 2110, Jordan., Jamaan MH; Ministry of Health Kuwait, Kuwait City, Kuwait., Alhamadi MA; Ministry of Health Kuwait, Kuwait City, Kuwait., Mahfouz R; Nephrology Department, Henry Ford Hospital, Detroit, USA., Alshwayat A; Nephrology Department, University of Arkansas for Medical Sciences, Little Rock, AR, USA., Al-Kurdi MA; University of Aleppo, Faculty of Medicine, Aleppo, Syrian Arab Republic. mohammedmahdikurdi@gmail.com.
Source: International urology and nephrology [Int Urol Nephrol] 2026 Feb; Vol. 58 (2), pp. 611-621. Date of Electronic Publication: 2025 Aug 18.
Publication Type: Journal Article
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
Description
ISSN:1573-2584
DOI:10.1007/s11255-025-04718-5