@inproceedings{conf/icimth/ShahAAHS22,
added-at = {2023-04-05T00:00:00.000+0200},
author = {Shah, Uzair and Ali, Hazrat and Alam, Tanvir and Househ, Mowafa S. and Shah, Zubair},
biburl = {https://www.bibsonomy.org/bibtex/2311b56872b35887b567ddfebc6c7f7c5/dblp},
booktitle = {ICIMTH},
crossref = {conf/icimth/2022},
editor = {Mantas, John and Gallos, Parisis and Zoulias, Emmanouil and Hasman, Arie and Househ, Mowafa S. and Diomidous, Marianna and Liaskos, Joseph and Charalampidou, Martha},
ee = {https://doi.org/10.3233/SHTI220699},
interhash = {32059feda15fce6052323733cde0f055},
intrahash = {311b56872b35887b567ddfebc6c7f7c5},
isbn = {978-1-64368-291-4},
keywords = {dblp},
pages = {209-212},
publisher = {IOS Press},
series = {Studies in Health Technology and Informatics},
timestamp = {2024-04-09T13:16:38.000+0200},
title = {Artificial Intelligence-Based Models for Predicting Vaccines Critical Tweets: An Experimental Study.},
url = {http://dblp.uni-trier.de/db/conf/icimth/icimth2022.html#ShahAAHS22},
volume = 295,
year = 2022
}