Open AccessPrediction of Vaccination Side-Effects using Deep Learning
Author(s) -
Farhan Uz Zaman,
Tanvinur Rahman Siam,
Zulker Nayen
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.111424
Subject(s) - vaccination , computer science , deep learning , covid-19 , artificial intelligence , artificial neural network , side effect (computer science) , machine learning , implementation , field (mathematics) , medicine , disease , virology , mathematics , pathology , infectious disease (medical specialty) , programming language , pure mathematics
Deep learning has been very successful in the field of research which includes predictions. In this paper, one such prediction is discussed which can help to implement safe vaccination. Vaccination is very important in order to fight viral diseases such as covid-19. However, people at times have to go through unwanted side effects of the vaccinations which might often cause serious illness. Therefore, modern techniques are to be utilised for safe implementations of vaccines. In this research, Gated Recurrent Unit, GRU, which is a form of Recurrent Neural Network is used to predict whether a particular vaccine will have any side effect on a particular patient. The extracted predictions might be used before deciding whether a vaccine should be injected to a particular person or not.