About
Contact & Profiles
Research Areas
- Machine Learning in Healthcare
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
Harvard University
2025
The growing availability of pre-trained polygenic risk score (PRS) models has enabled their integration into real-world applications, reducing the need for extensive data labeling, training, and calibration. However, selecting most suitable PRS model a specific target population remains challenging, due to issues such as limited transferability, heterogeneity, scarcity observed phenotype in settings. Ensemble learning offers promising avenue enhance predictive accuracy genetic assessments,...
10.21203/rs.3.rs-5976048/v1
preprint
EN
Research Square (Research Square)
2025-04-01
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