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Updated: Jul 5, 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

Published on: October 10, 2018

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实验室测试信息产量的概率预测

Yixing Jiang1, Andrew H Lee1, Xiaoyuan Ni1

  • 1Stanford University, Stanford, CA.

AMIA ... Annual Symposium proceedings. AMIA Symposium
|January 15, 2024
PubMed
概括

使用电子健康记录预测实验室测试稳定性可以减少低产量的重复诊断. 这种方法有助于优化测试,降低医疗保健成本,并通过识别不必要的测试来维持高质量的患者护理.

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