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Updated: Jun 13, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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使用可解释机器学习在中年和老年中国人口中预测全因死亡率和过早死亡率

Qi Yu1, Lingzhi Zhang1, Qian Ma1

  • 1Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China.

Heliyon
|September 16, 2024
PubMed
概括

机器学习模型准确地预测了45岁以上中国成年人的死亡率. 关键的风险因素包括年龄,健康状况和生活方式,有助于早期干预所有原因和过早死亡.

关键词:
所有原因的死亡率.群组研究是一项群组研究.流行病学 流行病学机器学习 机器学习预测模型的预测模型.

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma04:09

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