ehrapy
A modular Python framework for exploratory analysis of heterogeneous epidemiological and electronic health record (EHR) data.
What is ehrapy?
ehrapy is an open-source Python framework for exploratory analysis of electronic health record (EHR) and epidemiological data. It provides a full pipeline from data ingestion and quality control to advanced analyses like clustering, survival analysis, trajectory inference, causal inference, and deep learning. The framework is designed to handle heterogeneous, real-world health data, enabling researchers to perform reproducible and scalable analyses.
Bioinformaticians, clinical researchers, epidemiologists, and data scientists working with electronic health records or epidemiological datasets who need a comprehensive tool for end-to-end data analysis.
Developers choose ehrapy because it offers a modular, open-source framework specifically tailored for health data, integrating a wide range of advanced analytical methods into a single, reproducible pipeline, unlike generic data science libraries.
Overview
Electronic Health Record Analysis with Python.
Use Cases
Best For
- Performing survival analysis on patient outcome data from EHRs
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