Publications by authors named "By Sai Li"
Ann Appl Stat
December 2023
Article Synopsis
- Limited representation of minorities in clinical research hinders the effectiveness of precision medicine, leading to underperformance in prediction models for these groups.
- FETA is a proposed method that uses federated transfer learning to integrate diverse data from various healthcare institutions, aiming to improve genetic risk prediction models for underrepresented populations with small sample sizes.
- Testing results show that FETA achieves better predictive performance compared to traditional methods, demonstrating its potential to enhance accuracy and address health disparities across different populations.
