MEDISCHARGE: Automated Clinical Discharge Summaries

GitHub Repository ACL Paper EPFL-MAKE at “Discharge Me!”: An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Records Project Summary This project is focused on the automation of generating discharge summaries from clinical Electronic Health Records (EHRs) using Large Language Models (LLMs). The system, MEDISCHARGE, is designed to generate two main sections of a discharge summary: Brief Hospital Course (BHC) and Discharge Instructions (DI). Built on the Meditron-7B model, it leverages a context window extension and a dynamic information selection framework to handle large EHRs and efficiently select the most important content when needed. ...

August 20, 2024 · 2 min · Antonin Faure

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GitHub Kaggle Dataset Medium Live Demo Inspired by and curious about Google News articles grouping by event I challenged myself into replicating its state of the art. ...

August 24, 2023 · 10 min · Antonin Faure

Fine-tuning T5 for Q/A on EPFL Courses Materials

Report Introduction The project, undertaken with Delabarre Luca and Nemo Fabrice, aimed to train a large language model (LLM) for assisting students in understanding EPFL course materials. This initiative sought to provide quick, detailed answers without human interaction, thereby streamlining the educational process. ...

June 16, 2023 · 2 min · Antonin Faure