ritaranx/RAM-EHR
[ACL 2024] This is the code for our paper ”RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records“.
This project helps medical researchers and data scientists predict clinical outcomes for patients using their electronic health records. It takes anonymized patient data, along with external medical knowledge from sources like DrugBank and PubMed, to generate predictions about future health events. The end user is typically a clinical researcher or data scientist working with medical data.
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Use this if you are a clinical researcher or data scientist looking to improve predictions on patient electronic health records by incorporating external medical knowledge.
Not ideal if you need a plug-and-play clinical prediction tool for immediate patient care, as this project is focused on research and requires data preparation and technical expertise.
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Language
Python
License
MIT
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Last pushed
Sep 19, 2024
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