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Jiarui Li d7600514af Update Trainer class to rename parameters for clarity in embedding configuration
2026-01-08 17:11:19 +08:00
age_encoder.py
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
backbones.py
Enhance DataLoader configuration and improve tensor transfer efficiency in Trainer class
2026-01-08 13:20:32 +08:00
dataset.py
Enhance DataLoader configuration and improve tensor transfer efficiency in Trainer class
2026-01-08 13:20:32 +08:00
embed_icd10.py
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
experiments.txt
Add multi-GPU experiment runner script and experiments configuration
2026-01-08 13:57:34 +08:00
field_id.txt
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
field_ids_enriched.csv
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
icd10_codes_mod.tsv
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
labels.csv
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
LICENSE
Initial commit
2026-01-07 21:27:38 +08:00
losses.py
Refactor PiecewiseExponentialLoss for clarity and numerical stability improvements
2026-01-08 13:05:53 +08:00
model.py
Enhance DataLoader configuration and improve tensor transfer efficiency in Trainer class
2026-01-08 13:20:32 +08:00
prepare_data.py
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
prepare_data.R
Add loss functions and model architecture for time-to-event prediction
2026-01-07 21:32:00 +08:00
README.md
Initial commit
2026-01-07 21:27:38 +08:00
run_experiments_multi_gpu.sh
Add multi-GPU experiment runner script and experiments configuration
2026-01-08 13:57:34 +08:00
train.py
Update Trainer class to rename parameters for clarity in embedding configuration
2026-01-08 17:11:19 +08:00

README.md

DeepHealth

Description
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Readme BSD-3-Clause 1.2 MiB
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Python 95.8%
Shell 3.7%
R 0.5%