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.

CALL FOR PAPERS


Paper Submission Last Date
30 - April - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe