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.
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