Train clinical prediction models on EHR datasets with pyhealth.
npx skills add https://github.com/felixboehm/biochem-allergy --skill pyhealth-felixboehm
Please help me install this Agent Skill. Skill: pyhealth Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/pyhealth Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill pyhealth-felixboehm
This Skill provides a comprehensive toolkit for developing, testing, and deploying machine learning models with clinical data, streamlining complex healthcare AI workflows.
Use the pyhealth skill to train a Transformer model for mortality prediction on the MIMIC-IV dataset.
High-intent search queries and answers about installing and using this skill.
To develop clinical prediction models with EHR data, this toolkit provides integrated workflows for loading diverse healthcare datasets, training state-of-the-art models, and evaluating clinical outcomes.
Yes, you can train a Transformer model for mortality prediction on the MIMIC-IV dataset. The toolkit supports processing EHR data and training advanced models for this specific clinical use case.
Beyond clinical prediction, this healthcare AI toolkit supports EHR analysis, medical coding, and physiological signal processing, covering comprehensive workflows from data loading to model interpretability.
To evaluate fairness and interpretability in healthcare machine learning, the toolkit includes integrated evaluation tools designed to ensure clinical models are reliable and unbiased across demographic groups.
Yes, physiological signal processing is fully supported. The toolkit enables loading and processing diverse healthcare datasets including EHRs, physiological signals, and medical images for model development.
For deploying models trained on clinical data, the toolkit streamlines the end-to-end workflow from data handling and model training to testing, ensuring reliable deployment for healthcare AI applications.
ovachieverConvert raw clinical data and task specifications into model-ready healthcare AI inputs.
zadnan2002Calculate model metrics and generate accuracy, calibration, and stability visualizations.
JosephWoodallAutomate healthcare AI pipelines for EHR data with PyTorch models.
robinbarvaagDevelop and train clinical machine learning models with healthcare datasets.
