Personalized predictions of adverse side effects of the COVID-19 vaccines

Personalized predictions of adverse side effects of the COVID-19 vaccines

Background: Misconceptions about adverse side effects are thought to influence public acceptance of the Coronavirus disease 2019 (COVID-19) vaccines negatively. To address such perceived disadvantages of vaccines, a novel machine learning (ML) approach was designed to generate personalized predictio...

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Bibliographic Details
Main Authors: Elham Jamshidi, Amirhossein Asgary, Ali Yazdizadeh Kharrazi, Nader Tavakoli, Alireza Zali, Maryam Mehrazi, Masoud Jamshidi, Babak Farrokhi, Ali Maher, Christophe von Garnier, Sahand Jamal Rahi, Nahal Mansouri
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Heliyon
Subjects:
COVID-19
Artificial intelligence
Machine learning
Symptom
Vaccine
Adverse side effects
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022040415

Internet

http://www.sciencedirect.com/science/article/pii/S2405844022040415

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