Postoperative Delirium Diagnosis with NLP
End-to-end diagnostic pipeline, from raw patient audio to final clinical prediction. Two analytical pathways: transformers for semantic analysis and tabular models for clinical …
I enjoy making things. Here are a selection of projects that I have worked on over the years.
End-to-end diagnostic pipeline, from raw patient audio to final clinical prediction. Two analytical pathways: transformers for semantic analysis and tabular models for clinical …
During my internship with the Agora team (INRIA, Lyon), I analyzed LoRaWAN networks through unstructured metadata, creating dynamic visualizations to detect hidden patterns and …
Machine learning engine that analyzes live EEG signals together with tabular data to generate immediate diagnostic predictions, within an interdisciplinary team.
ML backend in a mobile app for pose estimation, tracking patient activity during specific exercises to help reduce waiting lists in public healthcare.
Full-stack clinical decision support system to predict mortality in patients undergoing Code Blue procedures, presented at the GMDS conference (Germany). Low-latency real-time data …