Towards a Reliable and Explainable Health Monitoring and Caring System

该项目旨在通过一种安全、可靠、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)开发一套鲁棒且可解释的深度学习模型，这些模型保证在复杂的环境不确定性下是安全的；2)设计智能健康监测和护理平台，以稳健的深度学习模型为动力，更好地支持居家健康监测和护理。结果将使最终用户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。

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.