Development of a Machine Learning-Based Prognostic Model Using Systemic Inflammation Markers in Patients Receiving Nivolumab Immunotherapy: A Real-World Cohort Study.

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Bibliographic Details
Title: Development of a Machine Learning-Based Prognostic Model Using Systemic Inflammation Markers in Patients Receiving Nivolumab Immunotherapy: A Real-World Cohort Study.
Authors: Ozkerim U; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Isik D; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Kinikoglu O; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Oksuz S; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Altintas YE; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Akdag G; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Yildirim S; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Basoglu T; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Surmeli H; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Odabas H; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey., Turan N; Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul 34865, Turkey.
Source: Journal of personalized medicine [J Pers Med] 2025 Dec 31; Vol. 16 (1). Date of Electronic Publication: 2025 Dec 31.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101602269 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4426 (Print) Linking ISSN: 20754426 NLM ISO Abbreviation: J Pers Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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