Early Detection of Covid-19 Based on Preliminary Features Using Machine Learning Algorithms

In this paper, early detection of Coronavirus has been proposed using some machine learning techniques. Coronavirus has been the most exceptionally infectious and dangerous disease in the year 2020. By analyzing the significant clinical symptoms, early detection of this disease in patients can be done. A clinical dataset has been used for the classification of the disease using support vector machines, random forest algorithms, and neural networks. Neural network has been the most promising algorithm in providing the best-performance parameters like F1-score, recall, precision, confusion matrix, etc. Experimental analysis shows that neural network outperforms due to the approximation nature of the activation functions.