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基于体检数据的智能AI疾病预警系统的设计与应用

Design and Application of Intelligent AI Disease Early Warning System Based on Physical Examination Data
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摘要 在数字化时代,健康管理领域迎来了重大的变化。文中聚焦于前沿技术,提出了一种创新性的基于人工智能和大数据技术的智能AI疾病预警系统。该系统以个体健康数据为核心,整合了体检数据、生活习惯、遗传信息等多维度信息,借助机器学习和深度学习算法的强大分析能力来深度挖掘数据背后的规律,以精准识别潜在的健康风险。通过及时发出早期预警,该系统可以为用户提供个性化的健康干预方案,促进了健康管理模式的转型。 In the digital age,the field of health management has ushered in major changes.Focusing on cutting-edge technologies,this paper proposes an innovative intelligent AI disease early warning system based on artificial intelligence and big data technology.The system takes individual health data as the core,integrates multi-dimensional information such as physical examination data,living habits,and genetic information,and uses the powerful analysis capabilities of machine learning and deep learning algorithms to deeply mine the laws behind the data to accurately identify potential health risks.By issuing early warnings in a timely manner,the system can provide users with personalized health intervention plans and promote the transformation of health management models.
作者 陈蕾 CHEN Lei(Department of Information,Yangzhou Second People's Hospital,Yangzhou,Jiangsu 225000,China)
出处 《移动信息》 2025年第9期328-330,共3页 Mobile Information
关键词 智能AI 疾病预警 健康管理 Intelligent AI Disease warning Health management
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