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Updated: Feb 4, 2026

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

Published on: October 10, 2018

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早期预测低出生体重使用增强整体机器学习:一个回顾性队列研究

Ya-Ling Hu1, Kung-Liahng Wang2,3, Jerry Cheng-Yen Lai4,5

  • 1Department of Nursing, College of Nursing, National Yang Ming Chiao Tung University, Yangming Campus, Taipei, Taiwan.

Digital health
|February 2, 2026
PubMed
概括

这项研究开发了一种机器学习模型,使用早期怀孕数据来预测低出生体重 (LBW). 该模型实现了高准确度,使新生儿早期风险评估和干预成为可能.

关键词:
整合机器学习 机器学习轻GBMM 轻GBMM 的时间人工智能是一种人工智能.提升技术的提升技术.出生时体重较低的婴儿.

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