jiarui_li/DeepHealth

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Jiarui Li d8b322cbee Enhance Event Rate@K and Recall@K computations with random ranking baseline and additional metrics

2026-01-11 00:52:35 +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

Enhance Event Rate@K and Recall@K computations with random ranking baseline and additional metrics

2026-01-11 00:52:35 +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

Refactor model configurations in models_eval_example.json: update names, add loss_type and full_cov attributes for Delphi and SAP Delphi models.

2026-01-10 14:29:15 +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