Machine learning methods for cancer risk prediction of upper gastro-intestinal cancers
Project Details
In this project we aim to make more complete use of the trends in clinical information in the lead up to a cancer diagnosis in order to improve on existing approaches to risk prediction for upper GI cancers. A secondary outcome of this study will therefore be to provide further evidence on the suitability of machine learning for risk prediction using electronic health records.
Project Lead: Shaoke Lei
Patron ID: PAT1124