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

Raúl Beltrán Ramírez¹, Rocío Maciel Arellano¹, Carlos González Sandoval², Adauto Casas Flores¹

¹Departamento de Sistemas de Información, Universidad de Guadalajara Periférico Norte, Zapopan, México.
²Centro de Ense?anza Técnica Industrial, Guadalajara, México.

DOI: 10.4236/jsea.2015.86030                

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.

Keywords

Mobile Technology, Mobile Applications, Dengue, Influenza, Expert System

Conflicts of Interest

The authors declare no conflicts of interest.

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