Resumen
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.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | 2023 IEEE International Humanitarian Technology Conference, IHTC 2023 |
| Editorial | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (versión digital) | 9798350314311 |
| DOI | |
| Estado | Publicada - 2023 |
| Evento | 2023 IEEE International Humanitarian Technology Conference, IHTC 2023 - Santa Marta, Colombia Duración: 1 nov. 2023 → 3 nov. 2023 |
Serie de la publicación
| Nombre | 2023 IEEE International Humanitarian Technology Conference, IHTC 2023 |
|---|
Conferencia
| Conferencia | 2023 IEEE International Humanitarian Technology Conference, IHTC 2023 |
|---|---|
| País/Territorio | Colombia |
| Ciudad | Santa Marta |
| Período | 1/11/23 → 3/11/23 |
Nota bibliográfica
Publisher Copyright:© 2023 IEEE.
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
-
ODS 3: Salud y bienestar
Areas de Conocimiento del CACES
- 316A Desarrollo y análisis de software y aplicaciones
- 8116A Sistemas de Información
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