infodemiology

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1
Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective.
Garcia-Rudolph, Alejandro;Laxe, Sara;Saurí, Joan;Bernabeu Guitart, Montserrat;
2019 Journal of medical Internet research DOI: 10.2196/14077 450 views
2
Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics.
Pérez-Pérez, Martín;Pérez-Rodríguez, Gael;Fdez-Riverola, Florentino;Lourenço, Anália;
2019 Journal of medical Internet research DOI: 10.2196/12610 421 views
3
Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data.
Benson, Ryzen;Hu, Mengke;Chen, Annie T;Nag, Subhadeep;Zhu, Shu-Hong;Conway, Mike;
2020 jmir public health and surveillance DOI: 10.2196/19975 486 views
4
What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Coping with COVID-19 Using the Media Repertoire Framework and the Appraisal Theory of Stress.
Pahayahay, Amber;Khalili-Mahani, Najmeh;
2020 Journal of medical Internet research DOI: 10.2196/20186 357 views
5
Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing.
Zhu, Yu Peng;Park, Han Woo;
2021 Journal of medical Internet research DOI: e27681 258 views

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stroke sentiment analysis gender emotions infoveillance twitter topic models Irritable bowel syndrome Data mining social media communication natural language processing inflammatory bowel diseases Machine learning public health electronic cigarettes tobacco smoking cessation nlp ends