jiarui_li/DeepHealth

Go to file

Jiarui Li b64ba101c2 Add sap_delphi_discrete_time_cif_partcov model configuration to evaluation examples

2026-01-10 12:22:14 +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

Fix survival calculation in cifs_from_exponential_logits: broadcast mask for compatibility with tensor shapes

2026-01-10 11:42:03 +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

Fix formatting in DiscreteTimeCIFNLLLoss documentation for clarity

2026-01-09 18:34:01 +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

models_eval_example.json

Add sap_delphi_discrete_time_cif_partcov model configuration to evaluation examples

2026-01-10 12:22:14 +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

train.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

README.md

DeepHealth