Which healthcare-specific models are included?

It features specialized architectures for healthcare including RETAIN for interpretability, SafeDrug for medication recommendation, and StageNet for longitudinal data.

Can it handle medical code translation?

Yes, it includes tools to translate between clinical coding systems such as ICD-9, ICD-10, NDC, RxNorm, and ATC.

Is it faster than standard data processing tools?

Yes, PyHealth's modular pipeline is optimized for clinical data structures and is up to 3x faster than standard pandas workflows for healthcare data processing.

How does it ensure clinical reliability?

The skill provides built-in tools for model calibration, fairness assessment across demographics, and uncertainty quantification for clinical decision support.

What datasets does PyHealth support?

It supports over 10 major datasets including MIMIC-III, MIMIC-IV, eICU, OMOP, and various physiological signal datasets like SleepEDF.

PyHealth AI Toolkit

Name: PyHealth AI Toolkit
Author: jcafazzo

byjcafazzo

0•

数据科学与机器学习

Develops, tests, and deploys healthcare AI models using clinical data and specialized medical coding systems.

PyHealth is a comprehensive Python library specifically designed for healthcare AI, offering a modular pipeline for processing electronic health records (EHR), physiological signals, and medical imaging. This skill enables developers to implement clinical prediction tasks like mortality and readmission, translate between medical coding systems (ICD, NDC, ATC), and utilize specialized deep learning architectures like RETAIN and SafeDrug. It streamlines the entire machine learning workflow from standardized data loading to clinical model evaluation, ensuring high-performance processing optimized for complex medical datasets.

主要功能

010 GitHub stars

02Standardized loading for 10+ major healthcare datasets including MIMIC, eICU, and OMOP

03Advanced medical coding translation between ICD-9/10, NDC, RxNorm, and ATC

04Clinical-grade evaluation tools for fairness, calibration, and uncertainty quantification

05Predefined clinical prediction tasks for mortality, readmission, and length of stay

06Library of 33+ models including healthcare-specific architectures like RETAIN and SafeDrug

使用场景

01Developing safe medication recommendation systems with drug-drug interaction constraints

02Classifying sleep stages and detecting seizures from physiological EEG/ECG signals

03Predicting ICU patient mortality and hospital readmission risk using sequential EHR data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jcafazzo/thewolfondchair.ca pyhealth

For use in Claude.ai and ChatGPT

主要功能

010 GitHub stars

02Standardized loading for 10+ major healthcare datasets including MIMIC, eICU, and OMOP

03Advanced medical coding translation between ICD-9/10, NDC, RxNorm, and ATC

04Clinical-grade evaluation tools for fairness, calibration, and uncertainty quantification

05Predefined clinical prediction tasks for mortality, readmission, and length of stay

06Library of 33+ models including healthcare-specific architectures like RETAIN and SafeDrug

使用场景

01Developing safe medication recommendation systems with drug-drug interaction constraints

02Classifying sleep stages and detecting seizures from physiological EEG/ECG signals

03Predicting ICU patient mortality and hospital readmission risk using sequential EHR data