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Updated: Jun 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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预测COVID-19患者的生存状况:机器学习模型开发与呼吸机相关和生化参数从早期阶段:试点研究研究

Shin-Ho Chou1, Cheng-Yu Tsai1,2,3,4, Wen-Hua Hsu5

  • 1Respiratory Therapy, Department of Pulmonary Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan.

Journal of clinical medicine
|October 26, 2024
PubMed
概括

机器学习模型可以使用早期的生化和呼吸机数据来预测COVID-19患者的生存率. 关键指标,如在前两天内C反应蛋白 (CRP) 和pH水平,有助于确定成功的呼吸机断奶.

关键词:
细胞反应蛋白 (CRP) 是一种C反应蛋白.在 COVID-19 疫情中,随机的森林随机的森林生存预测的预测.呼吸机 断奶 断奶 断奶 断奶

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