A comprehensive repository containing AI-powered tools for Electronic Medical Record (EMR) analysis, including automated cohort generation and clinical feature extraction.
This repository contains two main projects:
EMR-AGENT/
├── EMR-Agent/ # Main EMR Agent system
└── PreCISE-EMR/ # PreCISE-EMR preprocessing toolkit
An advanced AI agent system for automated patient cohort generation and clinical feature mapping from EMR databases.
Key Features:
- CFSA (Cohort and Feature Selection Agent): Automated patient cohort and feature extraction
- CMA (Code Mapping Agent): Clinical feature mapping and selection
- Support for multiple EMR databases (eICU, MIMIC-III, SICdb)
- Ablation study modules for comprehensive evaluation
📖 For detailed information, please refer to: EMR-Agent/README.md
A preprocessing and dataset construction toolkit for EMR data analysis.
Key Features:
- EMR data preprocessing pipelines
- Dataset construction utilities
- Data quality assessment tools
- Feature engineering capabilities
📖 For detailed information, please refer to: PreCISE-EMR/README.md
# Clone the repository
git clone <repository-url>
cd EMR-AGENT
# Install common dependencies
pip install -r requirements.txt-
For EMR-Agent: Navigate to the
EMR-Agent/directory and follow the instructions inEMR-Agent/README.md -
For PreCISE-EMR: Navigate to the
PreCISE-EMR/directory and follow the instructions inPreCISE-EMR/README.md
If you use this repository in your research, please cite our work:
@article{emr-agent,
title={EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases},
author={[Authors]},
journal={[Journal]},
year={[Year]}
}