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Updated: Sep 13, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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一个回顾性队列研究,使用机器学习来预测川崎病儿童的冠状动脉病变

Yanan Duan1, Aiping Chen1, Xuedi Cheng2

  • 1Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, 266000, China.

BMC pediatrics
|August 1, 2025
PubMed
概括

一个新的预测模型识别了早期的临床症状和实验室结果,以预测川崎病 (KD) 儿童的冠状动脉病变. 这种工具有助于临床医生优化治疗和改善CAL风险的KD患者的治疗结果.

关键词:
在CRP中使用CRP.冠状动脉损伤冠状动脉损伤川崎病是川崎病的一种疾病.机器学习是机器学习.倾向性得分匹配的匹配方法

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