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Updated: Jun 18, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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机器学习方法在口腔癌中长期放射治疗的分类:国家癌症数据库

Seungjun Ahn1,2, Eun Jeong Oh3, Matthew I Saleem4,5

  • 1Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
|July 31, 2024
PubMed
概括

机器学习,特别是随机森林,准确地预测了口腔癌患者的长期辐射治疗. 这可以帮助识别高风险个体,以便进行早期干预和改善结果.

关键词:
这是OPSCC的OPSCC.机器学习是机器学习.长时间的辐射持续时间.辐射辐射辐射辐射的辐射

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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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