Which healthcare datasets does PyHealth support?

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

Can this skill help with medical code translation?

Yes, it provides specialized mapping tools (CrossMap and InnerMap) for translating between systems like ICD-9/10, NDC, RxNorm, and ATC.

Does it include specialized healthcare neural network architectures?

Yes, it implements 33+ models including healthcare-specific architectures like RETAIN for interpretability, SafeDrug for medication safety, and StageNet for EHR sequences.

Is PyHealth suitable for predicting patient outcomes?

Absolutely. It includes predefined functions for critical tasks such as mortality prediction, length of stay estimation, and 30-day readmission risk.

PyHealth: Healthcare AI Toolkit

Name: PyHealth: Healthcare AI Toolkit
Author: Activer007

byActiver007

0•

Data Science & ML

Simplifies the development and deployment of machine learning models for clinical data and healthcare applications.

PyHealth is a comprehensive Python library designed for healthcare AI, offering specialized tools for processing electronic health records (EHR), medical coding systems, and physiological signals. It provides a modular five-stage pipeline for data loading, task definition, and training state-of-the-art models like RETAIN and SafeDrug, enabling researchers and developers to build robust clinical prediction models for tasks such as mortality prediction and drug recommendation while ensuring model interpretability, fairness, and clinical validity.

Key Features

01Implementation of 33+ deep learning models specialized for sequential clinical data

02Comprehensive medical coding translation across ICD, NDC, RxNorm, and ATC systems

03Integrated evaluation tools for model calibration, fairness assessment, and interpretability

04Standardized interfaces for 10+ healthcare datasets including MIMIC-III/IV, eICU, and OMOP

050 GitHub stars

06Predefined clinical prediction tasks for mortality, readmission, and length of stay

Use Cases

01Building medication recommendation systems with drug-drug interaction constraints

02Developing predictive models for hospital readmission and ICU mortality risk

03Standardizing heterogeneous medical codes across different healthcare databases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills pyhealth

For use in Claude.ai and ChatGPT

Download Skill