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Updated: May 22, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习的模型可以预测长期瘤控制和脑垂体手术后的额外干预措施

Yuki Shinya1,2, Abdul Karim Ghaith1, Sukwoo Hong1,2

  • 11Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.

Journal of neurosurgery
|March 14, 2025
PubMed
概括

一个机器学习模型准确地预测了手术后库辛病的长期缓解. 该工具通过识别瘤大小和BMI等关键预测因素来帮助个性化治疗.

关键词:
库辛氏病是一种疾病.决策树是一个决策树.长期的结果是长期的结果.机器学习是机器学习.下垂体腺瘤是什么?下垂体外科手术是一种手术.随机的森林随机的森林瘤是一个瘤.

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