Determinants of coronavirus disease 2019 infection by artificial intelligence technology: A study of 28 countries

Objectives The coronavirus disease 2019 pandemic has affected countries around the world since 2020, and an increasing number of people are being infected. The purpose of this research was to use big data and artificial intelligence technology to find key factors associated with the coronavirus dise...

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Veröffentlicht in:	PloS one 2022-08, Vol.17 (8), p.e0272546-e0272546
Hauptverfasser:	Peng, Hsiao-Ya, Lin, Yen-Kuang, Nguyen, Phung-Anh, Hsu, Jason C, Chou, Chun-Liang, Chang, Chih-Cheng, Lin, Chia-Chi, Lam, Carlos, Chen, Chang-I, Wang, Kai-Hsun, Lu, Christine Y
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquired immune deficiency syndrome AIDS Algorithms Artificial intelligence Artificial neural networks Big Data Biology and Life Sciences Classification Computer and Information Sciences Coronavirus infections Coronaviruses COVID-19 Cystic fibrosis Datasets Deep learning Diagnosis Disease control Disease prevention Disease transmission Epilepsy Infections Learning algorithms Lifestyles Machine learning Medical research Medicine and Health Sciences Modules Neural networks Nosocomial infections Olfaction Pandemics Prevention Questionnaires Regression analysis Severe acute respiratory syndrome coronavirus 2 Signs and symptoms Smell Social Sciences Support vector machines Technology Variables Viral diseases
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