Johaira U. Lidasan

Work place: Notre Dame University, Cotabato City, 9600, Philippines



Research Interests: Neural Networks, Image Processing, Logic Calculi, Logic Circuit Theory


Johaira U. Lidasan is a faculty of College of Computer Studies in Notre Dame University, Philippines. She is a graduate of Master in Computer Science and a certified Microsoft Office Specialist and IBM DB2 Academic Associate. She is a member of Computing Society of the Philippines and she is interested in image processing, fuzzy logic, expert system and neural networks.

Author Articles
MeDevice: A Mobile – Based Diagnosis of Common Human Illnesses using Neuro – Fuzzy Expert System

By Johaira U. Lidasan Martina P. Tagacay

DOI:, Pub. Date: 8 Aug. 2019

Fever is a sign that the body is trying to fight infection. It is usually accompanied by various sicknesses or symptoms that signal another illness or disease. Diagnosing it ahead of time is essential because it has to do with human life and to determine what to do to get well. MeDevice is a mobile-based application that runs in Android devices that allows the user to enter the levels of his/her symptoms and diagnoses the disease either as influenza, dengue, chicken pox, malaria, typhoid fever, measles, Hepatitis A and pneumonia together with its details and its first aid treatment. It aims at providing an efficient decision support platform to aid people with fever in diagnosing their disease and whether or not to seek medical attention especially in developing countries like the Philippines. This application is engineered with the knowledge base and the inference method of fuzzy logic and expert system with the help of Gradient Descent optimization algorithm and back propagation neural network to achieve the optimum value of the error rate. This is essential to provide the application with a high accuracy rate which shows during the conduct of testing of the application.

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