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Jiarui Li c1bba30de4 Remove evaluation_age_time_dependent.py and utils.py files 
- Deleted the entire evaluation_age_time_dependent.py file which contained functions for evaluating age-dependent metrics, including various statistical calculations and data aggregation methods.
- Removed utils.py file that provided utility functions for sampling context in fixed age bins and multi-hot encoding for disease occurrences.
2026-01-17 09:53:15 +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
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
Add evaluation and utility functions for time-dependent metrics
2026-01-16 14:55:09 +08:00
model.py
Refactor loss functions and model architecture: replace PiecewiseExponentialLoss with DiscreteTimeCIFNLLLoss, update Trainer to use SimpleHead, and modify argument parsing for new loss type.
2026-01-09 18:31:38 +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
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
torch_metrics.py
Add binary metrics computation and refactor evaluation logic in age-bin evaluation
2026-01-16 17:19:27 +08:00
train.py
Add Piecewise Exponential CIF Loss and update model evaluation for PWE
2026-01-15 11:36:24 +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%