Adaptive neuro fuzzy inference system for diagnosing coronavirus disease 2019 (COVID-19)
Joint Authors
Ukaoha, Kingsley C.
Ademiluyi, Oluwadamilola
Ndunagu, Juliana
Daodu, Stephen S.
Osang, Frank
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 20, Issue 2 (31 Dec. 2020), pp.1-31, 31 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2020-12-31
Country of Publication
Egypt
No. of Pages
31
Main Subjects
Medicine
Information Technology and Computer Science
Topics
Abstract EN
Coronaviruses which are positively sensed single-stranded Ribonucleic Acid (RNA) viruses are causing serious threat to global public health due to the widespread infection rate of the virus and there is no immunity to the virus or known cure yet.
Timely diagnosis of the disease has become a major challenge due to the limitation associated with the present methods used in diagnosis of COVID-19 and a limited number of COVID-19 test kits available in hospitals due to the increasing number of cases daily.
There is a need to propose a model that can provide timely, differential and alternative diagnosis option to prevent COVID-19 spreading among people.
In this study an ANFIS based model was proposed for diagnosing COVID-19, the model was trained and tested using 120 diagnosed COVID-19 dataset.
The ANFIS model had accuracy of 99.6% compared to all other models used for predicting and diagnosing COVID-19 and we are optimistic it would be quite useful to the health sector.
American Psychological Association (APA)
Ukaoha, Kingsley C.& Ademiluyi, Oluwadamilola& Ndunagu, Juliana& Daodu, Stephen S.& Osang, Frank. 2020. Adaptive neuro fuzzy inference system for diagnosing coronavirus disease 2019 (COVID-19). International Journal of Intelligent Computing and Information Sciences،Vol. 20, no. 2, pp.1-31.
https://search.emarefa.net/detail/BIM-985453
Modern Language Association (MLA)
Ukaoha, Kingsley C.…[et al.]. Adaptive neuro fuzzy inference system for diagnosing coronavirus disease 2019 (COVID-19). International Journal of Intelligent Computing and Information Sciences Vol. 20, no. 2 (2020), pp.1-31.
https://search.emarefa.net/detail/BIM-985453
American Medical Association (AMA)
Ukaoha, Kingsley C.& Ademiluyi, Oluwadamilola& Ndunagu, Juliana& Daodu, Stephen S.& Osang, Frank. Adaptive neuro fuzzy inference system for diagnosing coronavirus disease 2019 (COVID-19). International Journal of Intelligent Computing and Information Sciences. 2020. Vol. 20, no. 2, pp.1-31.
https://search.emarefa.net/detail/BIM-985453
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 29-31
Record ID
BIM-985453