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Jiarui Li 2170b61d87 Refactor CIF computation to support arbitrary non-negative horizons and improve error handling for finite bin edges
2026-01-14 11:29:40 +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
evaluate_models.py
Refactor CIF computation to support arbitrary non-negative horizons and improve error handling for finite bin edges
2026-01-14 11:29:40 +08:00
experiments.txt
Update experiments configuration: replace PiecewiseExponentialLoss with DiscreteTimeCIFNLLLoss for delphi_fork and sap_delphi models
2026-01-09 18:44:16 +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 LogNormalBasisHazardLoss to LogNormalBasisBinnedHazardCIFNLLLoss and update related configurations
2026-01-13 21:11:38 +08:00
model.py
Add LogNormalBasisHazardLoss implementation and update training configuration
2026-01-13 15:59:20 +08:00
models_eval_example.json
Replace sap_delphi models with delphi_fork_lognormal_basis_binned_hazard_cif model in evaluation configuration
2026-01-14 11:16:27 +08:00
prepare_data.py
Add LogNormalBasisHazardLoss implementation and update training configuration
2026-01-13 15:59:20 +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
Enhance multi-GPU experiment runner: add log directory option, improve logging with sanitized filenames, and capture command output in log files.
2026-01-09 18:46:59 +08:00
train.py
Refactor LogNormalBasisHazardLoss to LogNormalBasisBinnedHazardCIFNLLLoss and update related configurations
2026-01-13 21:11:38 +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%