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

Autor: Ujjawal Prakash, Madhav Sharma, Kanika Singla, Anshu Kumari
Rok vydání: 2021
Předmět:
Zdroj: Advances in Intelligent Systems and Computing ISBN: 9789811625961
DOI: 10.1007/978-981-16-2597-8_33
Popis: 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.
Databáze: OpenAIRE