Application of machine learning and risk prediction model in late-life diseases

This project will find what and where our brain changed when we have a diagnosis of late-life disease. These finding may broaden and expand our understanding of the neurobiological mechanism of late-life diseases.
Furthermore, we will find risk and protective factors for late-life diseases. Next, we will develop a risk prediction system based on these factors to tell us what is the risk of developing this disease in the future. This system will could help us to identify our potential risk profile and provide guidance on precise and timely actions to prevent or delay to develop late-life disease.
In view of huge works on data cleansing and data analyses, this project will last for 36 months.