Machine-Learning

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. ...

Report Website Project Summary This project revolves around the task of disaster change detection using remote sensing imagery, particularly from satellite sources. The objective is to create a comprehensive dataset and develop models to detect and analyze changes between pre- and post-disaster images. The dataset includes over 60 disaster events, along with pixel-level annotations of disaster-specific changes. ...

GitHub Repository Report Introduction As data scientists and researchers, we are constantly seeking ways to push the boundaries of accuracy and efficiency in various domains. In the field of medical image processing, the accuracy of age prediction based on anatomical features can have significant implications for diagnosing and understanding age-related conditions. In this project, we embarked on a journey to optimize biological age prediction from brain anatomical volume measurements. Our goal was to determine whether splitting patients into subgroups and developing prediction models for each subgroup could improve the accuracy of age prediction compared to a global prediction model. ...

GitHub Repository Report Introduction The project, conducted with Manon Dorster and Alexandre Maillard, aimed to apply machine learning techniques to CERN particle accelerator data to identify Higgs boson events among multiple proton collisions. This project was part of the Machine Learning course (CS-433) at EPFL. ...