Publication
Development and internal validation of a machine learning model for predicting second primary malignancy risk in hodgkin lymphoma survivors: a population-based competing risk analysis.
Sinian Li, Mingyue Xiong, Zhonggui Gan, Haishan Lu, Yiheng Zhao, Hong Huang, Tingzhuang Yi
Hematology (Amsterdam, Netherlands)Dec 31, 2026PMID 42804656doi:10.1080/16078454.2026.2737562 Journal ArticleValidation StudypubmedProvenance
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- PubMed
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- Sep 29, 2026
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- normalized (units and labels harmonized; values unchanged)
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- ING-PUBMED-20260929-000001
Abstract
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BACKGROUND: Hodgkin lymphoma (HL) survivors face an elevated long-term risk of developing second primary malignancies (SPMs), yet accurate prediction tools remain scarce. This study aimed to develop and internally validate a machine learning-based prediction model for SPM risk in HL survivors using…
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- cancerHodgkin Lymphomadictionary0.60
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