AliBERT : the first pretrained language model for ...
The paper “AliBERT : A pretrained language model for French biomedical text” was written in collaboration with Aman Berhe, Guillaume Draznieks,...
The paper “AliBERT : A pretrained language model for French biomedical text” was written in collaboration with Aman Berhe, Guillaume Draznieks,...
The purpose of this work is to propose a regulatory-grade, data-integrative, real-world-value-based and disease-centric approach to accelerate and ...
The exploration of heath data by clustering algorithms allows to better describe the populations of interest by seeking the sub-profiles that compo...
Over the past few years, domain specific pretrained language models have been investigated and have shown remarkable achievements in different down...
Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the vo...
Patients’ testimonials (e.g. posts on forums or responses to questionnaires) provide valuable insights to define and characterize patient-reporte...