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 Topic

Diseases
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 (Dec. 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