pyhealth - Healthcare AI Toolkit for Clinical Data
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 clinical tasks
- Translate medical codes
- Process clinical data
- Select healthcare models
- Preprocess physiological signals
- Train machine learning models
- Evaluate clinical models
- Calibrate model predictions
- Interpret model predictions
Inputs
- Healthcare datasets
- Clinical data
- Medical codes
- Physiological signals
- Clinical prediction tasks
- Model configurations
Outputs
- Trained machine learning models
- Clinical predictions
- Evaluation metrics
- Calibrated predictions
- Interpretability results
- Processed healthcare data
Requirements
- Python 3.7 or later
- PyTorch 1.8 or later
- NumPy
- pandas
- scikit-learn