Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system

Abstract

Coronavirus is a fatal disease that affects mammals and birds. Usually, this virus spreads in humans through aerial precipitation of any fluid secreted from the infected entity’s body part. This type of virus is fatal than other unpremeditated viruses. Meanwhile, another class of coronavirus was developed in December 2019, named Novel Coronavirus (2019-nCoV), first seen in Wuhan, China. From January 23, 2020, the number of affected individuals from this virus rapidly increased in Wuhan and other countries. This research proposes a system for classifying and analyzing the predictions obtained from symptoms of this virus. The proposed system aims to determine those attributes that help in the early detection of Coronavirus Disease (COVID-19) using the Adaptive Neuro-Fuzzy Inference System (ANFIS). This work computes the accuracy of different machine learning classifiers and selects the best classifier for COVID-19 detection based on comparative analysis. ANFIS is used to model and control ill-defined and uncertain systems to predict this globally spread disease’s risk factor. COVID-19 dataset is classified using Support Vector Machine (SVM) because it achieved the highest accuracy of 100% among all classifiers. Furthermore, the ANFIS model is implemented on this classified dataset, which results in an 80% risk prediction for COVID-19.

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“…In this way, measures can then be taken to protect oneself from infected people diagnosed with this virus, and their location data is accessed using smartphone technology. Business activities must be allowed to take place in a restricted manner 3 . However, these smartphone applications should be designed to provide people with information about infected people beforehand.…”

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“…C. Iwendi et al [37], have proposed their study about the role of an Adaptive Neuro-Fuzzy Inference System (ANFIS) into Classification of Coronavirus Disease (COVID-19) individuals, introducing a system to analyze and classify the predictions produced from virus's symptoms, aiming to help in COVID-19's early detection.…”