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Updated: Jan 17, 2026

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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机器学习揭示了全球癌症结果的特定国家驱动因素

M S Patel1, C S Pramesh2, N N Sanford3

  • 1Department of Molecular Biosciences, The University of Texas at Austin, Austin, USA; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.

Annals of oncology : official journal of the European Society for Medical Oncology
|January 14, 2026
PubMed
概括

这项研究使用机器学习来识别全球影响癌症存活率的关键卫生系统因素. 它强调了人均国内生产总值,放射治疗和全民健康覆盖 (UHC) 对改善癌症结果的重要性.

关键词:
在SHAP分析中,我们分析了SHAP.癌症的结局癌症的结果.全球瘤学全球瘤学卫生系统 卫生系统机器学习是机器学习.全民健康覆盖范围是普遍的

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