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Epidemic Prediction Algorithm Based on Deep Learning and Epidemic Dynamics

Published: 16 April 2024 Publication History

Abstract

Disease prediction has always been an important research topic. The purpose of this algorithm is to combine climate factors and use deep learning methods to establish a model that can predict the development of infectious disease epidemic. This model focuses on the data of hand-foot-mouth disease as the research object, combining infectious disease dynamics models with deep learning models to learn the historical data of hand-foot-mouth disease and its related influencing factors. By using a fully connected neural network, the infectious disease dynamics model provides key parameters. Finally, based on the infectious disease dynamics model, the model predicts the incidence of hand-foot-mouth disease in the future period and achieves good predictive performance. The aim is to help decision-making departments implement timely prevention and control measures.

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  • (2024)Методи машинного навчання в епідеміологічних дослідженняхScientific Bulletin of UNFU10.36930/4034040834:4(59-67)Online publication date: 23-May-2024

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  1. Epidemic Prediction Algorithm Based on Deep Learning and Epidemic Dynamics

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    ICMLCA '23: Proceedings of the 2023 4th International Conference on Machine Learning and Computer Application
    October 2023
    1065 pages
    ISBN:9798400709449
    DOI:10.1145/3650215
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

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    Published: 16 April 2024

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    • (2024)Методи машинного навчання в епідеміологічних дослідженняхScientific Bulletin of UNFU10.36930/4034040834:4(59-67)Online publication date: 23-May-2024

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