Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus

An intelligent deep convolutional network based COVID-19 detection from chest X-rays

“…The TSEBANN training classification was used in investigations with tenfold cross-validation to evaluate the correlations factor of the X-ray current diagnostic classification. The new balanced information is divided into ten elements in aggregate [59] , [60] , [61] . Every element represented 10% of the entire dataset, providing for the conversion of every database set into the testing dataset.…”

Discovering the symptom patterns of COVID-19 from recovered and deceased patients using Apriori association rule mining

“…Ismael and Şengür [45] classified COVID-19 and healthy chest X-ray images using ResNet18, ResNet50, ResNet101, VGG16, and VGG19 networks. An analysis of RT-PCR dataset to detect COVID-19 was conducted by [46] using machine learning algorithms including decision tree, support vector machine, K-means clustering, and radial basis function. In order to predict morality, Moulaei et al [47] first performed synthetic minority over-sampling technique (SMOTE) to handle the class imbalance.…”

Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19

“…RBF [32] is mostly used for the signal-based classification model. As the nature of high-speed learning process, it enhances the COVID-19 detection performance.…”