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Rishi Saripalle, Mehdi Sookhak and Mahboobeh Haghparast
The Unified Medical Language System (UMLS) is an internationally recognized medical vocabulary that enables semantic interoperability across various biomedical terminologies. To use its knowledge, the users must understand its complex knowledge structure...
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Donghua Chen, Runtong Zhang, Kecheng Liu and Lei Hou
Patient-reported posts in Online Health Communities (OHCs) contain various valuable information that can help establish knowledge-based online support for online patients. However, utilizing these reports to improve online patient services in the absence...
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Mourad Sarrouti, Asma Ben Abacha and Dina Demner-Fushman
Visual Question Generation (VQG) from images is a rising research topic in both fields of natural language processing and computer vision. Although there are some recent efforts towards generating questions from images in the open domain, the VQG task in...
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Héctor Andrés Melgar Sasieta, Fabiano Duarte Beppler, Roberto Carlos do Santos Pacheco (Author)
Pág. 381 - 389
This paper presents a model that aims to facilitate the visualization of the knowledge stored in digital repositories using visual archetypes. Archetypes are structures that contain visual representations of the real world that are known a priori by the ...
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Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
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Héctor Andrés Melgar Sasieta, Fabiano Duarte Beppler, Roberto Carlos do Santos Pacheco
Pág. 381 - 389
Neste artigo apresenta-se um modelo que visa facilitar a visualização do conhecimento armazenado em repositórios digitais usando arquétipos visuais. Os arquétipos são estruturas que contêm representações visuais do mundo real que a priori são conhecidas ...
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