Build and evaluate clinical AI models for EHR, imaging, and text tasks.
npx skills add https://github.com/OwnLabAI/ownlab --skill pyhealth-ownlabai
Please help me install this Agent Skill. Skill: pyhealth Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/pyhealth Command: npx skills add https://github.com/OwnLabAI/ownlab --skill pyhealth-ownlabai
PyHealth provides a comprehensive, modular toolkit for building, training, and evaluating clinical AI models using diverse healthcare data (EHR, physiological signals, imaging, and text), consolidating data handling, model development, and evaluation into one workflow.
Launch a mortality-prediction workflow on MIMIC-IV using a Transformer, then evaluate and interpret the results.
High-intent search queries and answers about installing and using this skill.
PyHealth enables EHR-driven clinical prediction by providing a modular pipeline covering data loading, task definition, model training, and evaluation. You can launch workflows for mortality, readmission, or length of stay predictions using predefined task functions.
PyHealth supports EHR-driven prediction (mortality, readmission, length of stay), clinical coding, sleep staging, medical imaging, and clinical text tasks. It includes 20+ predefined task functions for training and evaluating models across diverse healthcare data formats.
Yes, PyHealth allows you to launch a mortality-prediction workflow on MIMIC-IV using a Transformer model. It provides a modular pipeline for model selection, training, evaluation, and result interpretation within a single workflow.
PyHealth provides a full training and evaluation pipeline that includes calibration, interpretability, and fairness tooling for clinical ML models. These features are integrated into the workflow to help evaluate and interpret healthcare AI results.
PyHealth handles diverse healthcare data formats by providing modular data loading and task definitions for EHR, physiological signals, imaging, and text. This consolidates data handling, model development, and evaluation into one workflow.
zjunlpAnalyze MIMIC-IV patient records and generate clinical QA pairs.
galeepCompute SHAP values and generate feature attribution visualizations for any model type.
LeonChaoXBuild healthcare AI models from electronic health records for clinical prediction tasks.
Yezez9Develop, test, and deploy healthcare machine learning models with clinical data.
