Adaptive Neuro-Fuzzy  Inference System for Prediction of Surgery Time for Ischemic Stroke Patients

Ali, Rahma; Qidwai, Uvais; Ilyas, Saadat K.; Akhtar, Naveed; Alboudi, Ayman; Ahmed, Arsalan; Inshasi, Jihad

doi:10.30880/ijie.2019.11.03.007

Cited by 3 publications

(2 citation statements)

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“…Thus, the ANFIS implements on the collected dataset to generate a predictive linear expert model to compute the risk prediction level of COVID-19. In this paper, the ANFIS model is used because its learning ability is more efficient than the FIS model [4,35]. It creates a valuable competency relationship between input and output.…”

Section: K-nearest Neighbour (Knn)mentioning

confidence: 99%

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

et al. 2021

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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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Section: K-nearest Neighbour (Knn)mentioning

confidence: 99%

“…This is a form of viral pneumonia, so antibiotics are not treating patients well. NHS suggests anyone with these kinds of symptoms should self-isolate themselves for 7 to 14 days 4 . The main contributions of this paper are:…”

Section: Introductionmentioning

confidence: 99%