Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review.
Sebastião Rogério da Silva NetoThomás Tabosa OliveiraIgor Vitor TeixeiraSamuel Benjamin Aguiar de OliveiraVanderson de Souza SampaioTheo LynnPatricia Takako EndoPublished in: PLoS neglected tropical diseases (2022)
The use of an efficient clinical decision support system for arboviral diseases can improve the quality of the entire clinical process, thus increasing the accuracy of the diagnosis and the associated treatment. It should help physicians in their decision-making process and, consequently, improve the use of resources and the patient's quality of life.