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Updated: Jun 21, 2025

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典型肺癌切除后长期预后的预测建模:机器学习视角

Min Liang1,2, Jian Huang3, Caiyan Liu1

  • 1Department of Respiratory and Critical Care Medicine, Maoming People's Hospital, Maoming, China.

Cancer investigation
|July 15, 2024
PubMed
概括

这项研究确定了影响典型肺癌 (TPC) 患者手术后生存的关键因素. 一个机器学习模型预测了结果,帮助个性化治疗TPC.

关键词:
典型的肺癌类致癌物.机器学习是机器学习.原发性瘤的主要瘤.预后 预后 预后切除 切除 切除 切除幸存率 幸存率 生存率

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Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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