Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach

Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach

Lyme disease is the most prevalent tick-borne disease in Eastern Europe. This study focuses on the development of a machine learning model based on a neural network for predicting the dynamics of the Lyme disease epidemic process. A retrospective analysis of the Lyme disease cases reported in the Kh...

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Bibliographic Details
Main Authors: Dmytro Chumachenko, Pavlo Piletskiy, Marya Sukhorukova, Tetyana Chumachenko
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
epidemic model
Ixodes tick-borne borreliosis
Lyme disease
epidemic process simulation
machine learning
artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/12/9/4282

Internet

https://www.mdpi.com/2076-3417/12/9/4282

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