pyhealth - Develop healthcare AI with PyHealth
Develop, train, evaluate, and deploy healthcare machine learning models using clinical data, medical codes, physiological signals, and healthcare datasets.
Tags
Updated: 2026-10-03Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Load healthcare datasets
- Define prediction tasks
- Select healthcare models
- Train clinical models
- Evaluate model performance
- Translate medical codes
- Process clinical data
- Calibrate model predictions
- Interpret model predictions
- Assess model fairness
Inputs
- Healthcare datasets
- Clinical prediction objectives
- Medical coding systems
- Model configurations
- Training settings
Outputs
- Trained model checkpoints
- Evaluation metrics
- Inference predictions
- Calibrated predictions
- Interpretability results
Requirements
- Python 3.7 or later
- PyTorch 1.8 or later
- NumPy
- pandas
- scikit-learn