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...
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: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022040415 |
Similar Items
-
Longevity of immunity following COVID-19 vaccination: a comprehensive review of the currently approved vaccines
by: Elham Jamshidi, et al.
Published: (2022-11-01) -
A Review on Fabrication of Janus Nanofibers through Side-by-Side Electrospinning Method
by: Mahdi Nouri, et al.
Published: (2022-05-01) -
Clear Water Scour around at a Piano Key Side Weir of the Type A at 120° Section of a 180° Curved Channel
by: Mehdi Jamshidi, et al.
Published: (2022-08-01) -
Side-to-side versus end-to-side ileocolic anastomosis in right-sided colectomies: A cohort control study
by: Snow Yunni Lin, et al.
Published: (2022-01-01) -
Laparoscopic side-to-side pancreaticojejunostomy for chronic pancreatitis in children
by: Kyoichi Deie, et al.
Published: (2016-01-01)