pyhealth - PyHealth healthcare AI toolkit
Develop, test, 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 clinical prediction tasks
- Select healthcare models
- Preprocess clinical data
- Translate medical codes
- Train machine learning models
- Evaluate clinical models
- Calibrate model predictions
- Interpret model predictions
- Assess model fairness
Inputs
- Healthcare datasets
- Clinical data
- Prediction objectives
- Medical coding systems
- Physiological signals
- Model configurations
Outputs
- Trained model checkpoints
- Evaluation results
- Clinical predictions
- Calibrated predictions
- Interpretability outputs
- Fairness metrics
Requirements
- Python 3.7 or later
- PyTorch 1.8 or later
- NumPy
- pandas
- scikit-learn
- PyHealth installed