Towards a Reliable and Explainable Health Monitoring and Caring System

建立可靠且可解释的健康监测和护理系统

• 批准号: DE200101439
• 负责人: Dr Wenjie Ruan
• 金额: $ 29.42万
• 依托单位: Macquarie University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE200101439
• 关键词: Towards; Reliable; Explainable; Health; Monitoring

This project aims to unleash the power of deep learning on health monitoring and caring domain through a safe, reliable and explainable way. Its innovations lie on 1) developing a set of robust and explainable deep learning models that are guaranteed to be safe to complex environmental uncertainty; 2) designing an intelligent health monitoring and caring platform, powered by robust deep learning models, to better support the home-based health monitoring and caring for the elderly. The result will enable end-users to trust the decisions of deep learning models in safety-critical systems and significantly contribute to Australian aging society and national healthcare economy.

该项目旨在通过安全，可靠和可解释的方式释放深度学习在健康监测和护理领域的力量。它的创新在于1）开发一套强大且可解释的深度学习模型，保证对复杂的环境不确定性安全; 2）设计一个智能健康监测和护理平台，由强大的深度学习模型提供支持，以更好地支持家庭健康监测和老年人护理。这一结果将使最终用户能够信任安全关键系统中深度学习模型的决策，并为澳大利亚老龄化社会和国家医疗保健经济做出重大贡献。