The poster “๐ผ ๐๐๐ฉ๐ช๐ง๐๐ก ๐๐๐ฃ๐๐ช๐๐๐ ๐๐ง๐ค๐๐๐จ๐จ๐๐ฃ๐ (#๐๐๐) ๐ผ๐ฅ๐ฅ๐ง๐ค๐๐๐ ๐ฉ๐ค ๐ผ๐ช๐ฉ๐ค๐ข๐๐ฉ๐ ๐๐๐ฉ๐๐๐ฃ๐ฉ๐จโ ๐๐๐จ๐ฉ๐๐ข๐ค๐ฃ๐๐๐ก๐จ ๐ผ๐ฃ๐๐ก๐ฎ๐จ๐๐จ” was written in collaboration with Mรฉlissa Rollot,ย Coriande Clemente,ย Vincent Martenotย andย Paul Hayat of Quinten and Quinten Health.
The presented method makes possible the automated and efficient extraction of topics from a large volume of text data : Applied to patients’ testimonies, such analysis provides strong insights on patientsโ perception about a wide range of healthcare topics (side effects, treatment, symptoms…), paving the way for better PRO definitions and patient-centric evaluation, as well as better adherence to treatments.
It will explain the objectives, methods, results and conclusions, with all the details and graphics present in the poster.
