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Updated: Jun 24, 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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[人工智能为预测急性冠状动脉综合征后心力衰竭而获得的分类树]

Alberto Cordero1, Vicente Bertomeu-Gonzalez2, José V Segura3

  • 1Departamento de Cardiología, Hospital IMED Elche, Elche, Alicante, España; Grupo de Investigación Cardiovascular, Universidad Miguel Hernández, Elche, Alicante, España; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, España.

Medicina clinica
|May 31, 2024
PubMed
概括

人工智能确定了急性冠状动脉综合征 (ACS) 后预测心力衰竭 (HF) 的关键因素. 一个人工智能模型创建了15个风险模式来预测HF住院概率,帮助患者管理.

关键词:
急性冠状动脉综合征是什么自动学习是一种自动学习.人工智能的人工智能是人工智能.决策树模型决策树模型心脏衰竭是因为心脏衰竭.这是心脏衰竭 (cardiaca insuficiencia).人工智能的人工智能机器学习 机器学习决策树模型的模型冠状动脉急性综合征

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