Abstract—Before, if a person felt something unusual with their senses, their only choice is to go to a clinic or a hospital in order to know what they are feeling. But because of the continuous advancement in the technology, people are now able to know what their probable disease just by using their smart phones and an application capable of diagnosing diseases. This kind of innovation gave rise to the researchers in creating ENTDEx: ENT Diagnosis Expert System using Bayesian Networks, a system developed to help ENT patients and non-patients to diagnose common adult ENT diseases based on the given symptoms. This application uses Bayesian Networks in diagnosing the diseases. Based on the series of surveys and experiments conducted by the researchers, ENTDEx has a good feedback to its users as it provides the necessary information the users needed specifically in the field of otolaryngology.
Index Terms—Bayesian networks, expert systems, sensitivity, specificity.
The authors are with the Department of Computer Science, Polytechnic University of the Philippines in Sta. Mesa, Manila, Philippines (e-mail: anlo.alonzo@gmail.com, jealarrjoseph@gmail.com, luislloyd.layco@gmail.com, charmaine.maratas@gmail.com, rasagum@pup.edu.ph).
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Cite:Ann Lorraine D. C. Alonzo, Jealarr Joseph M. Campos, Luis Lloyd M. Layco, Charmaine A. Maratas, and Ria A. Sagum, "ENTDEx: ENT Diagnosis Expert System Using Bayesian Networks," Journal of Advances in Computer Networks vol. 2, no. 3, pp. 182-187, 2014.
