jiarui_li/DeepHealth
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
54 Commits 1 Branch 0 Tags
fcd948818c4f2b402385687d8002b075ae61cf3c
Commit Graph

54 Commits

This Branch
This Branch
All Branches
Author SHA1 Message Date
Jiarui Li
33ba7e6c1d Refactor training logic to improve early stopping mechanism and variable naming 2026-01-08 00:07:15 +08:00
Jiarui Li
811b2e1a46 Implement training script for Delphi model with configurable parameters 2026-01-07 23:57:29 +08:00
Jiarui Li
6984b254b3 Add loss functions and model architecture for time-to-event prediction 
- Implemented ExponentialNLLLoss and WeibullNLLLoss in losses.py for negative log-likelihood calculations.
- Developed TabularEncoder class in model.py for encoding tabular features.
- Created DelphiFork and SapDelphi classes in model.py for time-to-event prediction using transformer architecture.
- Added data preparation scripts in prepare_data.R and prepare_data.py for processing UK Biobank data, including handling field mappings and event data extraction.
 2026-01-07 21:32:00 +08:00
jiarui_li
5d1d79b908 Initial commit 2026-01-07 21:27:38 +08:00