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 |
