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Updated: Sep 11, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习实时预测急性低血压呼吸衰竭中HFNC治疗失败的情况

Xiaojie Li1, Chunliang Jiang2, Qingyan Xie1

  • 1School of Life Sciences, Tiangong University, Tianjin, 300387, China.

Scientific reports
|August 18, 2025
PubMed
概括

一种新的机器学习模型准确地预测了急性缺血性呼吸衰竭患者的高流量鼻治疗失败. 这种工具有助于临床医生进行早期干预,通过超越现有指数来降低死亡率.

关键词:
急性缺血性呼吸衰竭急性缺血性呼吸衰竭高流量鼻腔运管 鼻腔运管机器学习方法 机器学习方法在ROX指数上,ROX指数实时动态警报 实时动态警报在mROX指数中,mROX是指数.

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