Applications of Machine Learning in Battling Against Novel COVID-19
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, is to strongly analyze the Coronavirus Diseases (Covid-19) via utilizing the machine learning depended on classification as well as clustering method. Researchers' prediction will not only allow detection and pipeline to predict how much money their detection method for COVID-19 will make, but it will also allow them to justify their characteristics, such as type of infection and choice of vaccine to reach a certain detection using machine learning based model. In this way, it overcomes the challenge of new COVID-19 forecasting: the lack of historical data. With the machine learning algorithm, researchers provide prediction at 15 to 20 different methods with an accuracy above 80% after training. The training is performed on 80% of data while the testing is done on remaining 20% of data. Such prediction will also allow other interested third parties to predict the success of a COVID-19 detection before it is released on open-source community. In the process of prediction, some researchers found the variables most associated with COVID-19 detection, and to see how the various prediction models are affected by them. Nevertheless, those machines learning based methods can greatly benefit from modern artificial intelligence techniques for this purpose that can handle complex features and give out great prediction results. Therefore, employing historical COVID-19 data and using them in machine learning algorithms to predict disease could save companies millions of dollars on rather unsuccessful detection. © 2022 IEEE.
Açıklama
4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022 -- 9 June 2022 through 11 June 2022 -- Ankara -- 180434
Anahtar Kelimeler
Artificial Intelligence, Classification, Clustering, Covid-19, Disease, Infection, Machine Learning, Population, Treatment
Kaynak
HORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
