CNRS – CONFAP FIGTEM – Fine-grained text-mining for clinical trials

FIGTEM aims at developing natural language processing methods, including information extraction and indexing, dedicated to the clinical trial domain. The goal is to populate a formal representation of patients (via their Electronic Patient Records) and clinical trial data in different languages. These methods will be used within a recruitment support system for the purpose of clinical and therapeutic trials. To this end, we propose to develop text representation relying on fine-grained semantic annotation and spectral analysis, and to map these representations to eligibility criteria for the trials with semi-supervised machine learning approaches.

Dates: January 2016 – December 2018
Contact: Vincent Claveau


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