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Mobile application for disease diagnosis using tongue imaging: a health and information tool

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to the World Health Organization (WHO), early diagnosis has helped to reduce premature mortality by 20% between 2000 and 2015. In this line, it is essential to have support tools in the early diagnosis of diseases. Therefore, in this work we propose a mobile application to support the diagnosis of diseases based on Automatic Tongue Diagnosis (ATD), which is aligned with the Sustainable Development Goal 3 (SDG 3), which seeks to ensure healthy lives and promote well-being for all at all ages. The mobile application through the processing of oral images with artificial intelligence identified the main characteristics of the tongue and its relevance for diagnosis such as: classification according to texture, predominant color of the tongue, percentage of tartar. The application process was carried out with the support of experts in the field have demonstrated the acceptance and relevance of the application as an informative tool.

Original languageEnglish
Title of host publication2023 IEEE International Humanitarian Technology Conference, IHTC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350314311
DOIs
StatePublished - 2023
Event2023 IEEE International Humanitarian Technology Conference, IHTC 2023 - Santa Marta, Colombia
Duration: 1 Nov 20233 Nov 2023

Publication series

Name2023 IEEE International Humanitarian Technology Conference, IHTC 2023

Conference

Conference2023 IEEE International Humanitarian Technology Conference, IHTC 2023
Country/TerritoryColombia
CitySanta Marta
Period1/11/233/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Automatic Tongue Diagnosis (ATD)
  • Image processing
  • mobile application
  • preventive health
  • SDG 3
  • tongue features

CACES Knowledge Areas

  • 316A Software and Applications Development and Analysis
  • 8116A Information Systems

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