PyHealth
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A Deep Learning Python Toolkit for Healthcare Applications.
## Summary This PR adds the BulkRNABert model for cancer prognosis tasks based on the paper by Gélard et al. (2025). **Key additions:** - `BulkRNABertLayer`: Transformer encoder layer for gene...
Age Prediction Model from Chest X-rays Overview This PR introduces a multi-task deep learning model for predicting patient age from chest X-ray images. The model combines regression for exact age...
Fully self-contained BulkRNA-BERT reproduction example: - bulk_rna_bert_tcga_survival.py (complete script with model, ablations, plots) - All 8 required real TCGA files included in examples/ - Runs immediately on free Google Colab...
### Title Add DREAMT dataset + OSA classification task ### Summary This PR adds support for the DREAMT sleep dataset and a simple patient-level OSA classification task based on DREAMT...
# BiLM + BiLSTM NER Example (Biomedical NER) This example demonstrates a simple end-to-end pipeline for **biomedical named entity recognition (NER)** using: - A **bidirectional language model (BiLM)** over tokens...
**Contributor**: Yongda Fan ([email protected]) **Contribution Type**: Model **Description** Create a new model *StageNet with Attention*, with MHA layers inserted between SA-LSTM and SA-CNN. **Files to Review** pyhealth/models/stagenet_mha.py tests/core/test_stagenet_mha.py
Adds a reproducible example notebook that performs clinical note summarization with PyHealth. Covers dataset loading, preprocessing, model construction, training, evaluation with a small model.
MDACE is the first publicly available code evidence dataset, which is built on a subset of the MIMIC-III clinical records. The dataset – annotated by professional medical coders – consists...