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Updated: Jul 11, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习模型算法预测软组织雷奥米索尔科马的5年生存率

Pramod N Kamalapathy1, Marcos R Gonzalez1, Tom M de Groot1

  • 1Department of Orthopaedic Surgery, Division of Orthopaedic Oncology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.

Journal of surgical oncology
|November 17, 2023
PubMed
概括

研究人员开发了机器学习模型,以预测患有罕见癌症 - - 乳腺髓肉瘤 (LMS) 的患者的5年生存期. 弹性网惩罚后勤回归模型在外部验证中表现出强的表现,为生存评估提供了一个有前途的工具.

关键词:
人工智能的人工智能是人工智能.骨的瘤 骨的瘤大型数据库的大型数据库.预测因素 预测因素有关风险因素的风险因素.

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