activity
20182026
most citedIAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications

Yvon K. Awuklu, Meghyn Bienvenu, Katsumi Inoue +2

In this paper, we develop a novel logic-based approach to detecting high-level temporally extended events from timestamped data and background knowledge. Our framework employs logi…

cs.LG2025

Synthetic medical data generation: state of the art and application to trauma mechanism classification

Océane Doremus, Ariel Guerra-Adames, Marta Avalos-Fernandez +3

Faced with the challenges of patient confidentiality and scientific reproducibility, research on machine learning for health is turning towards the conception of synthetic medical…

cs.AI2025

Representation learning to advance multi-institutional studies with electronic health record data from US and France

Doudou Zhou, Han Tong, Linshanshan Wang +21

The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…

cs.CL2019★ 1 cited

Automatic detection of surgical site infections from a clinical data warehouse

Marine Quéroué, Agnès Lashéras-Bauduin, Vianney Jouhet +4

Reducing the incidence of surgical site infections (SSIs) is one of the objectives of the French nosocomial infection control program. Manual monitoring of SSIs is carried out each…

cs.CL2018★ 5 cited

IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates

Sébastien Cossin, Vianney Jouhet, Fleur Mougin +2

In this paper, we describe the approach and results for our participation in the task 1 (multilingual information extraction) of the CLEF eHealth 2018 challenge. We addressed the t…