Abstract
The European Union Digital Library (EUDL) is the central repository for all content published by the different branches of the European Alliance for Innovation (EAI). EUDL also hosts or indexes content from selected partner or member organizations and affiliates.
Highlights
The development of epidemiological curve models is one of the key factors in the combat of epidemiological diseases such as COVID-19
The data used in the presented research has been obtained from the “COVID-19” Data Repository made available by the Centre for Systems Science and Engineering (CSSE) at John Hopkins University (JHU), with support from the ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL) [20]
The results show how the Multilayer Perceptron (MLP) algorithm can be applied in the continual data gathering and retraining methodology for the presented problem, through the development of an automated data acquisition, data processing, model training, model validation, and result visualization or through the utilization of online learning
Summary
The development of epidemiological curve models is one of the key factors in the combat of epidemiological diseases such as COVID-19. OBJECTIVES: The goal of this paper is to develop a system for automatic training and testing of AI-based regressive models of epidemiological curves using public data, which involves automating the data acquisition and speeding up the training of the models. RESULTS: The developed system can train high precision models rapidly, allowing for quick model delivery All trained models achieve scores which are higher than 0.95. Researchers across the world have attempted to assist in the combat against this disease in various ways – either through the development of spread models [4], vaccine development [5,6] or through the modeling of various influences the pandemic may have on society [7,8]. Some examples of the research in modeling the COVID-19 spread follow
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EAI Endorsed Transactions on Bioengineering and Bioinformatics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
