Publication
Interpretable machine learning for individualized survival prediction in node-positive, non-metastatic prostate cancer: a population-based study.
Erhao Bao, Yucong Chai, Yang Yang, Shangtai Dai, Chongjian Wang, Xiaomao Zhou, Xia Li, Yuchen Li, Qilin Yang, Jing Liu
The aging male : the official journal of the International Society for the Study of the Aging MaleDec 31, 2026PMID 42690326doi:10.1080/13685538.2026.2724617 Journal ArticlepubmedProvenance
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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: Prostate cancer with regional lymph node involvement but no distant metastasis (N1M0) has heterogeneous prognosis. This study aimed to develop and validate an interpretable machine learning model for predicting cancer-specific survival (CSS). METHODS: Data from 18,287 N1M0 patients…
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- cancerMalignant Prostate Neoplasmdictionary0.60
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