A Multivariate Deep Learning Model with Coupled Human Intervention Factors for COVID-19 Forecasting
Author:
Affiliation:
1. School of Management, Lanzhou University, Lanzhou 730000, China
2. Research Center for Emergency Management, Lanzhou University, Lanzhou 730000, China
3. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Abstract
Funder
National Natural Science Foundation project of China
Fundamental Research Funds for the Central Universities
Publisher
MDPI AG
Subject
Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software
Link
https://www.mdpi.com/2079-8954/11/4/201/pdf
Reference22 articles.
1. Infectious Disease in an Era of Global Change;Baker;Nat. Rev. Microbiol.,2022
2. Review on the COVID-19 Pandemic Prevention and Control System Based on AI;Yi;Eng. Appl. Artif. Intell.,2022
3. Automatic Detection of Coronavirus Disease (COVID-19) in X-Ray and CT Images: A Machine Learning Based Approach;Kassania;Biocybern. Biomed. Eng.,2021
4. Zgheib, R., Kamalov, F., Chahbandarian, G., and Labban, O.E. (2021, January 12–15). Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods. Proceedings of the Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Shenzhen, China.
5. Application of Intelligence-Based Computational Techniques for Classification and Early Differential Diagnosis of COVID-19 Disease;Akinnuwesi;Data Sci. Manag.,2021
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