An Expert System Oriented towards the Detection of Influenza and Dengue Developed on Mobile Platforms

  • Ramírez R
  • Arellano R
  • Sandoval C
  • et al.
N/ACitations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

Nowadays, mobile technology makes it possible for us to realize processes in a relatively short amount of time, showing the user friendly and efficient interfaces that any person is capable of adapting to. Continuing this trend, we develop a mobile application that aids in giving an early diagnosis of Influenza and Dengue, two diseases that affect approximately 5% of the world population (in the case of Dengue) and 5% - 15% of the northern hemisphere (in the case of influenza). Our application consists of an expert system based on fuzzy logic that analyzes symptoms introduced by the user and formulates a diagnosis in approximately 2 - 4 minutes. This system considerably reduced the diagnostic time, improving the recuperation process from these diseases due to their early detection.

Cite

CITATION STYLE

APA

Ramírez, R. B., Arellano, R. M., Sandoval, C. G., & Flores, A. C. (2015). An Expert System Oriented towards the Detection of Influenza and Dengue Developed on Mobile Platforms. Journal of Software Engineering and Applications, 08(06), 295–301. https://doi.org/10.4236/jsea.2015.86030

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free