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Classification of Health-Related Social Media Posts: Evaluation of Post Content–Classifier Models and Analysis of User Demographics

Classification of Health-Related Social Media Posts: Evaluation of Post Content–Classifier Models and Analysis of User Demographics

Lopes and Da Silva [9] collected posts from a health-related online forum, MedHelp, and used them to propose and refine a scheme for manually classifying health-related forum posts into 4 categories and a total of 23 subcategories.

Ryan Rivas, Shouq A Sadah, Yuhang Guo, Vagelis Hristidis

JMIR Public Health Surveill 2020;6(2):e14952


Online Survey on Twitter: A Urological Experience

Online Survey on Twitter: A Urological Experience

After my return from the Annual Congress of the American Urological Association in San Diego (May 3-8, 2013), I would like to congratulate McKendrick et al [1] and Hanson et al [2] on their recent papers on the impact of Twitter, one of the most commonly used

Fabrizio Dal Moro

J Med Internet Res 2013;15(10):e238


Authorship Correction: Factors Associated With Willingness to Use Pre-Exposure Prophylaxis in Brazil, Mexico, and Peru: Web-Based Survey Among Men Who Have Sex With Men

Authorship Correction: Factors Associated With Willingness to Use Pre-Exposure Prophylaxis in Brazil, Mexico, and Peru: Web-Based Survey Among Men Who Have Sex With Men

information for author Cristina Pimenta (listed in 8th position) was accidentally overwritten by a duplicate of author Marcos Benedetti (listed in 9th position) when attempting to correct the spelling of Marcos’ surname.Authorship was previously as follows:Thiago Silva

Thiago Silva Torres, Kelika A Konda, E Hamid Vega-Ramirez, Oliver A Elorreaga, Dulce Diaz-Sosa, Brenda Hoagland, Steven Diaz, Cristina Pimenta, Marcos Benedetti, Hugo Lopez-Gatell, Rebeca Robles-Garcia, Beatriz Grinsztejn, Carlos Caceres, Valdilea G Veloso, ImPrEP Study Group

JMIR Public Health Surveill 2019;5(3):e15504