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Identifying Inequities in Video and Audio Telehealth Services for Primary Care Encounters During COVID-19: Repeated Cross-Sectional, Observational Study

Lorraine R Buis, Lindsay K Brown, Melissa A Plegue, Reema Kadri, Anna R Laurie, Timothy C Guetterman, V G Vinod Vydiswaran, Jiazhao Li, Tiffany C Veinot

J Med Internet Res 2023;25:e49804

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Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications

Danny T Y Wu, David Hanauer, Paul Murdock, V G Vinod Vydiswaran, Qiaozhu Mei, Kai Zheng

JMIR Form Res 2023;7:e45376

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An Assessment of Mentions of Adverse Drug Events on Social Media With Natural Language Processing: Model Development and Analysis

The Twitter data used for this study were obtained from a paper by Vydiswaran et al [29]. The data were collected via the Twitter API, user timelines, and the Decahose stream, which is a 10% random sample of the real-time Twitter stream. First, the Twitter API and user timelines were used to collect all tweets from users near the Detroit metropolitan area. Then, the data set was expanded through the Decahose stream. In total, the data set contained 28.8 million tweets.

Deahan Yu, V G Vinod Vydiswaran

JMIR Med Inform 2022;10(9):e38140

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