PyHealth

소개

PyHealth is a comprehensive Python library designed to streamline the lifecycle of healthcare AI, from processing complex electronic health records (EHR) to deploying validated clinical models. It offers a standardized five-stage pipeline for data loading, task definition, model selection, training, and deployment, specifically optimized for medical datasets like MIMIC-IV and eICU. By providing specialized architectures for medication recommendation and mortality prediction, along with tools for medical code translation and model interpretability, PyHealth enables researchers and developers to build high-performance clinical AI solutions significantly faster than using general-purpose data tools.

주요 기능

• Support for 33+ deep learning models including healthcare-specific architectures like RETAIN and SafeDrug
• Standardized 5-stage healthcare AI pipeline covering data loading to clinical deployment
• 16 GitHub stars
• Automated translation and mapping between medical coding systems such as ICD-9/10, NDC, and RxNorm
• Predefined templates for clinical tasks including mortality prediction, readmission, and drug recommendation
• Comprehensive evaluation suite featuring fairness metrics, calibration, and model interpretability tools

사용 사례

• Building predictive models for hospital readmission or patient mortality using EHR data
• Developing medication recommendation systems that account for drug-drug interaction constraints
• Standardizing and categorizing clinical datasets across disparate medical coding taxonomies