Automate end-to-end healthcare AI model development with EHR datasets and evaluation utilities.
npx skills add https://github.com/swaruplab/operon --skill pyhealth-swaruplab
Please help me install this Agent Skill. Skill: pyhealth Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/pyhealth Command: npx skills add https://github.com/swaruplab/operon --skill pyhealth-swaruplab
PyHealth provides a unified, modular toolkit to build, train, evaluate, and deploy healthcare AI models, reducing integration effort and enabling reproducible experiments.
Install and run a basic predictive workflow with MIMIC-IV data to generate your first results.
High-intent search queries and answers about installing and using this skill.
Build clinical prediction models for EHR datasets like MIMIC-III using a modular pipeline that provides ready-made datasets, tasks, and scalable training utilities for mortality and readmission predictions.
Using MIMIC-IV and eICU data, you can automate healthcare AI tasks including mortality prediction, length of stay, drug recommendation, and sleep EEG analysis through standardized end-to-end workflows.
Yes, you can train interpretable machine learning models for medical coding. The toolkit supports calibration, uncertainty quantification, and interpretable predictions directly within its standardized training pipeline.
Yes, the healthcare AI toolkit supports sleep EEG signal processing. It includes ready-made datasets and models specifically designed for healthcare signal processing alongside clinical prediction tasks.
Standardize EHR data pipelines for reproducible model deployment by using a unified modular toolkit that integrates datasets, tasks, models, and a Trainer to reduce integration effort and enable reproducible experiments.
zongtingweiAutomate end-to-end EHR predictive modeling workflows with PyHealth.
felixboehmTrain clinical prediction models on EHR datasets with pyhealth.
jimmc414Develop, train, and evaluate clinical prediction models on healthcare datasets.
SciMate-AIBuild, evaluate, and deploy healthcare AI models across EHR, signals, imaging, and text.
