4 citations · 14 across the 6 of their papers we have counts for
7 papers
Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning
Lillian Muyama, Antoine Neuraz, Adrien Coulet
Clinical diagnosis guidelines aim at specifying the steps that may lead to a diagnosis. Inspired by guidelines, we aim to learn the optimal sequence of actions to perform in order…
Investigating ADR mechanisms with knowledge graph mining and explainable AI
Emmanuel Bresso, Pierre Monnin, Cédric Bousquet +5
Adverse Drug Reactions (ADRs) are characterized within randomized clinical trials and postmarketing pharmacovigilance, but their molecular mechanism remains unknown in most cases.…
Experiments on transfer learning architectures for biomedical relation extraction
Walid Hafiane, Joel Legrand, Yannick Toussaint +1
Relation extraction (RE) consists in identifying and structuring automatically relations of interest from texts. Recently, BERT improved the top performances for several NLP tasks,…
Discovering alignment relations with Graph Convolutional Networks: a biomedical case study
Pierre Monnin, Chedy Raïssi, Amedeo Napoli +1
Knowledge graphs are freely aggregated, published, and edited in the Web of data, and thus may overlap. Hence, a key task resides in aligning (or matching) their content. This task…
Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study
Pierre Monnin, Emmanuel Bresso, Miguel Couceiro +3
Features mined from knowledge graphs are widely used within multiple knowledge discovery tasks such as classification or fact-checking. Here, we consider a given set of vertices, c…
Knowledge-Based Matching of -ary Tuples
Pierre Monnin, Miguel Couceiro, Amedeo Napoli +1
An increasing number of data and knowledge sources are accessible by human and software agents in the expanding Semantic Web. Sources may differ in granularity or completeness, and…