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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A 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.
Frija-Gruman, N. M., Villanueva, S., Ma, Y., Asselah, J., Lambert, S., Achiche, S., Osmanlliu, E., Pomey, M.-P., Hijal, T., Lessard, D., Engler, K., Lin, J., & Lebouché, B. (2025). Development of an AI-based emotional tone classifier to support psychosocial triage in digital cancer nursing tools. Annals of Oncology, 36(S2), S1625-S1625. External link
Lessard, D., Vicente, S., Engler, K., Ma, Y., Hijal, T., de Pokomandy, A., Costiniuk, C. T., Cox, J., & Lebouché, B. (2025). Implementation outcomes and preliminary effectiveness of digitally administering an electronic patient-reported outcome measure of barriers to adherence to antiretrovirals (the I-score)in HIV care. HIV Medicine, 26(S4), 303-304. Presented at 20th European AIDS Conference, Paris, France. External link
Ma, Y., Engler, K., Vicente, S., Achiche, S., Lemire, B., Cruz, A. R., Thériault, L., Soussou, S., Regazzoni, B., Tu, G., Haj, M. N. E., de Pokomandy, A., Cox, J., Niaki, N. Z., & Lebouche, B. (2021, October). Usability of an artificial intelligence chatbot to facilitate self-management of antiretroviral therapy in HIV patients [Abstract]. 18th European AIDS Conference (EACS 2021), Londres, Royaume-Uni. Published in HIV Medicine, 22(S3). External link
Ma, Y., Bock, G., Cherni, G., Lemire, B., Therrien, R., Thériault, L., Lessard, D., Engler, K., & Achiche, S. (2020, November). Meet Marvin, the CHATBOT : using artificial intelligence to engage HIV patients in their antiretroviral therapy [Presentation]. In Workshop on Healthy Living with HIV. External link