In the recently concluded National "Data Element x Competition," the project Large Model for Disease Prediction and Intervention Based on Real-World Data, led by Professor Di Qian and the research team, won First Prize in the provincial division and advanced to the national competition. This project uses real-world medical and health data to train a large model specifically designed for healthcare, predicting future disease risks and providing health intervention recommendations.
In practice, the project first developed a real-world medical and health data integration and sharing system, consolidating and cleaning real-world medical data to establish a data lake by connecting various data elements. Based on this data, the large model was trained and applied to real-world scenarios, enabling disease prediction and health intervention for different populations.
The team has already conducted pilot trials at the local level, and the related applications have received positive feedback from local governments, showcasing their demonstrative potential and the possibility for expansion to other provinces and cities across the country.