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Updated: Jul 19, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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一种优化的机器学习方法,用于预测用于治疗肺高血压的沃戈宁疗法

Yupeng Li1, Yujie Fu2, Yining Liu2

  • 1College of Computer Science and Technology, Changchun Normal University, Changchun, Jilin 130032, China.

Computers in biology and medicine
|August 17, 2023
PubMed
概括

这项研究引入了一种新的非侵入性方法,BSCDWOA-KELM,用于预测肺高血压 (PH) 的沃戈宁治疗有效性. 该方法准确地识别了关键的血液指标,为监测PH进展和治疗反应提供了更简单的方法.

关键词:
功能选择 功能选择全球优化全球优化机器学习 机器学习的元启发式算法.肺高血压是一种肺高血压.在Wogonin中工作.

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Oxygen therapy has emerged as a significant tool in enhancing the quality of life for patients suffering from pulmonary arterial hypertension (PAH). While this therapy has principally been studied on patients with significant hypoxemia, this therapeutic approach helps prevent potential organ damage and can be administered in the comfort of one's home.
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