Publications by authors named "Lucille Deplante"
Patient-reported outcomes and treatment adherence in type 2 diabetes using natural language processing: Wave 8 of the Observational International Diabetes Management Practices Study.
Juliana Cn Chan Jean Claude Mbanya Jean-Marc Chantelot Marina Shestakova Ambady Ramachandran Lucille Deplante
J Diabetes Investig
September 2024
Aims/introduction: We analyzed patient-reported outcomes of people with type 2 diabetes to better understand perceptions and experiences contributing to treatment adherence.
Materials And Methods: In the ongoing International Diabetes Management Practices Study, we collected patient-reported outcomes data from structured questionnaires (chronic treatment acceptance questionnaire and Diabetes Self-Management Questionnaire) and free-text answers to open-ended questions to assess perceptions of treatment value and side-effects, as well as barriers to, and enablers for, adherence and self-management. Free-text answers were analyzed by natural language processing.
Article Synopsis
- Using a combination of disease ontology, text mining, and statistical analysis, researchers compiled a list of COVID-19 symptoms to build a foundation for analysis.
- By employing machine learning techniques on Google search and Twitter data, they created a long-short-term memory (LSTM) model that effectively predicted increases in confirmed cases and hospitalizations up to 14 days in advance, achieving high accuracy scores.