An Intelligent Online Diagnostic System With Epidemic Alert


Authors : Kennedy Okokpujie, Abidemi Orimogunje, Etinosa Noma-Osaghae, Alashiri Olaitan

Volume/Issue : Volume 2 - 2017, Issue 9 - September

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/95dwqk

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

In many parts of the world and especially in developing nations, qualified doctors are overworked. This situation is the direct result of not ensuring that the number of qualified and available doctors keep pace with the exponential population growth rate that is obtainable in developing countries. Despite this, accurate diagnosis of ailments is a must. This paper proposes a novel way to ease the work burden on doctors with an intelligent online diagnosis system that can accurately diagnose diseases and prescribe medications without the need for physical interaction between patient and doctor. The proposed system uses an application programming interface (Infermedica) and has the added advantage of being able to give alerts at the onset of any epidemic.

Keywords : Artificial Intelligence, Machine Learning, Diagnosis, Prescription, Epidermics.

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