Large ai models in health informatics: Applications, challenges, and the future
Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …
Mapping the landscape of artificial intelligence applications against COVID-19
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …
the World Health Organization, which has reported over 18 million confirmed cases as of …
[HTML][HTML] COVID-19 vaccine hesitancy on social media: building a public Twitter data set of antivaccine content, vaccine misinformation, and conspiracies
Background False claims about COVID-19 vaccines can undermine public trust in ongoing
vaccination campaigns, posing a threat to global public health. Misinformation originating …
vaccination campaigns, posing a threat to global public health. Misinformation originating …
[HTML][HTML] Public perception of the COVID-19 pandemic on Twitter: sentiment analysis and topic modeling study
S Boon-Itt, Y Skunkan - JMIR public health and surveillance, 2020 - publichealth.jmir.org
Background: COVID-19 is a scientifically and medically novel disease that is not fully
understood because it has yet to be consistently and deeply studied. Among the gaps in …
understood because it has yet to be consistently and deeply studied. Among the gaps in …
[HTML][HTML] Twitter discussions and emotions about the COVID-19 pandemic: Machine learning approach
Background It is important to measure the public response to the COVID-19 pandemic.
Twitter is an important data source for infodemiology studies involving public response …
Twitter is an important data source for infodemiology studies involving public response …
[HTML][HTML] Topics, trends, and sentiments of tweets about the COVID-19 pandemic: temporal infoveillance study
R Chandrasekaran, V Mehta, T Valkunde… - Journal of medical …, 2020 - jmir.org
Background With restrictions on movement and stay-at-home orders in place due to the
COVID-19 pandemic, social media platforms such as Twitter have become an outlet for …
COVID-19 pandemic, social media platforms such as Twitter have become an outlet for …
[HTML][HTML] Design and analysis of a large-scale COVID-19 tweets dataset
R Lamsal - applied intelligence, 2021 - Springer
Abstract As of July 17, 2020, more than thirteen million people have been diagnosed with
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …
COVIDLies: Detecting COVID-19 misinformation on social media
The ongoing pandemic has heightened the need for developing tools to flag COVID-19-
related misinformation on the internet, specifically on social media such as Twitter. However …
related misinformation on the internet, specifically on social media such as Twitter. However …
[HTML][HTML] COVID-19 open source data sets: a comprehensive survey
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
Domain specialization as the key to make large language models disruptive: A comprehensive survey
Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …