Application of the LDA Model for Topic Identification: A Case Study on Dengue Diagnosis

 

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Библиографические подробности
Авторы: Portilla-Yela, Jennyfer, Palomino-Montezuma, Andrés Felipe, Manotas-Duque, Diego Fernando, Tovar-Cuevas, José Rafael, Portilla Yela, Jennyfer
Формат: artículo original
Статус:Versión publicada
Дата публикации:2025
Описание:[Objective]: This research aimed to identify and analyze topics in the scientific literature related to dengue, with a focus on diagnosis, signs, and symptoms using the Latent Dirichlet Assignment (LDA) model. [Methodology]: Articles were collected from various databases, including VHL, Web of Science, Ovid, Scopus, PubMed, Health & Medical, ScienceDirect, and Google Scholar, covering 2000-2024. The search equation was designed using key terms such as “dengue,” “signs,” “symptoms,” and “diagnosis,” along with MeSH terms to ensure the inclusion of relevant articles. The LDA model was then implemented to analyze the collected articles. [Results]: The implementation of the LDA model identified four main themes: 1) Dengue diagnosis and clinical presentation, 2) Research and control interventions, 3) Severe dengue and its clinical manifestations, and 4) Virus detection, including dengue, zika, and chikungunya. This thematic analysis facilitated the organization and understanding of literature, providing an overview of the predominant themes in dengue research. [Conclusions]: The study’s approach not only enhanced the organization and understanding of the articles found but also provided insights into the predominant themes in dengue literature, which may guide future research and improve diagnostic and treatment strategies.
Страна:Portal de Revistas UNA
Институт:Universidad Nacional de Costa Rica
Repositorio:Portal de Revistas UNA
Язык:Inglés
OAI Identifier:oai:www.revistas.una.ac.cr:article/20353
Online-ссылка:https://www.revistas.una.ac.cr/index.php/uniciencia/article/view/20353
Ключевое слово:Text mining
Statistical learning
Text processing
Text recognition
LDA Model
Dengue
Aprendizaje estadístico
Minería de textos
Modelo LDA
Procesamiento de textos
Reconocimiento de textos
Mineração de texto
aprendizado estatístico
processamento de texto
reconhecimento de texto
modelo LDA
dengue