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has been cited by the following article:

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

  AUTHORS: Raúl Beltrán Ramírez, Rocío Maciel Arellano, Carlos González Sandoval, Adauto Casas Flores

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

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.8 No.6, June 17, 2015

  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.