The poster “𝘼 𝙉𝙖𝙩𝙪𝙧𝙖𝙡 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙋𝙧𝙤𝙘𝙚𝙨𝙨𝙞𝙣𝙜 (#𝙉𝙇𝙋) 𝘼𝙥𝙥𝙧𝙤𝙖𝙘𝙝 𝙩𝙤 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙚 𝙋𝙖𝙩𝙞𝙚𝙣𝙩𝙨’ 𝙏𝙚𝙨𝙩𝙞𝙢𝙤𝙣𝙞𝙖𝙡𝙨 𝘼𝙣𝙖𝙡𝙮𝙨𝙞𝙨” was written in collaboration with Mélissa Rollot, Coriande Clemente, Vincent Martenot and 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 patients’ 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.
