Authors:
Salma Lahlali
and
Abdelkarim Ammoumou
Affiliation:
Industrial Engineering, Signal Processing and Logistic Laboratory, FSAC, Hassan 2nd University, Casablanca, Morocco
Keyword(s):
Deep Learning; Healthcare; Internet of things
Abstract:
During centuries, and since the appearance of science, the world of healthcare has known a noticeable positive progress. Not only on the researches and inventions term, but also on the intention’s term. The first aim was to save people’s lives and heal patients, from the illnesses which was known back then. After a period, and thanks to the improvement that was known in the field of both science & research, scientists level up to another aim which is preventing. This means, that they were looking for solutions by which doctors will be able to predict a possible disease infection, thus the possibility to prevent an exposure to a disease was being possible. Therefore, saving people’s lives had a new road which needed to be developed with the cooperation of other domains, so a system can be put into action to realize this new mission. The purpose of this article, is to present a system which can predict a possible illness as well as suggest the adequate treatment for the patient’s cas
e. This includes discussing the system’s main objectives and characteristics, in addition to describing its architecture main layers.
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