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Updated: Jul 8, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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多重逻辑回归和机器学习方法之间的比较,用于预测2型糖尿病中异常的扫描

Chung-Chi Yang1,2, Chung-Hsin Peng3,4, Li-Ying Huang5,6

  • 1Division of Cardiovascular Medicine, Taoyuan Armed Forces General Hospital, Taoyuan City 32551, Taiwan.

World journal of clinical cases
|December 11, 2023
PubMed
概括

机器学习方法在预测2型糖尿病患者异常心肌 perfusion 扫描时显著优于逻辑回归. 关键的危险因素包括性别,BMI,年龄,LDL胆固醇,HbA1c和吸烟.

关键词:
机器学习是机器学习.肌肉心脏 perfusion scintigraphy (肌肉心脏 perfusion scintigraphy) 的使用方法是什么塔-201是一种.2 型糖尿病 2 型糖尿病

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