Adaptive neuro fuzzy inference system for diagnosing coronavirus disease 2019 (COVID-19)‎

المؤلفون المشاركون

Ukaoha, Kingsley C.
Ademiluyi, Oluwadamilola
Ndunagu, Juliana
Daodu, Stephen S.
Osang, Frank

المصدر

International Journal of Intelligent Computing and Information Sciences

العدد

المجلد 20، العدد 2 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-31، 31ص.

الناشر

جامعة عين شمس كلية الحاسبات و المعلومات

تاريخ النشر

2020-12-31

دولة النشر

مصر

عدد الصفحات

31

الموضوع الرئيسي

الأمراض
تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 29-31

رقم السجل

BIM-985453