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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Ma, Y., Achiche, S., Tu, G., Vicente, S., Lessard, D., Engler, K., Lemire, B., chatbots Patient Expert Committee, M. A. R. V. I. N., Laymouna, M., de Pokomandy, A., Cox, J., & Lebouché, B. (2024). The first AI-based Chatbot to promote HIV self-management: A mixed methods usability study. HIV Medicine, 13720 (23 pages). External link
Ma, Y., Vincente, S., Engler, K., Achiche, S., Thériault, L., Lemire, B., Tu, G., Frih, I., Nait El Haj, M., Laymouna, M. A., de Polomandy, A., Cox, J., & Lebouché, B. (2022, October). An artificial intelligence-based Chatbot aimed at promoting HIV self-management : quantitative results of a mixed-method usability study [Poster]. Fast-Track Cities 2022, Seville, Spain. Unavailable
Frih, I., Tu, G., Ma, Y., Achiche, S., Laymouna, M. A., Chehab, M., Thériault, L., Lemire, B., Nait El Haj, M., & Lebouché, B. (2022, July). Lessons learned from the development and implementation of MARVIN : a bilingual artificial intelligence Chatbot for people living with HIV [Poster]. 24th International AIDS Conference (AIDS 2022), Montreal, Canada, and virtually. External link
Ma, Y., Engler, K., Vincente, S., Achiche, S., Lemire, B., Rodrigez Cruz, A., Thériault, L., Soussou, S., Régazzoni, B., Tu, G., Nait Ei Haj, M., de Pokomandy, A., Cox, J., Zahedi Niaki, N., & Lebouché, B. (2022, April). Utilisabilité et acceptabilité d'un Chatbot basé sur l'intelligence artificielle pour faciliter l'autogestion des antirétroviraux chez les personnes vivant avec le VIH [Poster]. 11ème conférence internationale francophone de Alliance francophone des acteurs de santé contre le VIH et les infections virales chroniques ou émergentes (AFRAVIH 2022), Marseille, France. External link
Ma, Y., Tu, G., Laymouna, M. A., Achiche, S., Frih, I., Chehab, M., Thériault, L., Lemire, B., Nait Ei Haj, M., & Lebouché, B. (2022, May). Développement d'un Chatbot pour soutenir l'autogestion chez les personnes vivant avec le VIH en temps de pandémie [Presentation]. In 89e congrès de l'ACFAS. External link
Ma, Y., Engler, K., Vincente, S., Achiche, S., Lemire, B., Rodrigez Cruz, A., Thériault, L., Soussou, S., Régazzoni, B., Tu, G., Nait Ei Haj, M., de Polomandy, A., Cox, J., Zahedi Niaki, N., & Lebouché, B. (2022, April). Usability and acceptability of an artificial intelligence-based Chatbot to facilitate antiretroviral self-management in people living with HIV [Presentation]. In 31st annual Canadian Conference on HIV/AIDS Research (CAHR 2022). Unavailable
