Fuzzy Logic and Deep learning Techniques for Covid-19 Detection
23rd International Arab Conference on Information Technology, ACIT 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2230837
ABSTRACT
With the development of ICT and its adoption in various domains, it gained remarkable intention in the healthcare sector which introduce the telemedicine term. The coronavirus pandemic has created several challenges for researchers to develop an accurate and fast detection system. In this paper, we present a new telemedicine application to predict Covid-19 using CNN and Fuzzy set techniques. The evaluation of the system indicates high performance with a 98% F1 score, 99% of recall, 98% for precision, and 97% of accuracy. © 2022 IEEE.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
/
Prognostic study
Language:
English
Journal:
23rd International Arab Conference on Information Technology, ACIT 2022
Year:
2022
Document Type:
Article
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