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Updated: Jun 30, 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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可解释的机器学习用于早期预测结核病 - 糖尿病并发症患者中治疗失败风险

An-Zhou Peng1, Xiang-Hua Kong1, Song-Tao Liu1

  • 1Department of the Fifth Tuberculosis, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.

Scientific reports
|March 22, 2024
PubMed
概括

使用电子医疗记录的机器学习模型可以早期预测糖尿病和结核病 (TB-DM) 患者的治疗失败. 这种方法有助于制定有效的TB-DM治疗策略,特别是在资源有限的环境中.

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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
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Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
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Mode of...
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