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Patricia A. Cavazos-Rehg

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affiliation: Washington University School of Medicine, St. Louis, MO, USA

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2020 – today

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2022
[j3]
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Yang Ren, Dezhi Wu, Avineet Kumar Singh, Erin Kasson, Ming Huang, Patricia A. Cavazos-Rehg:
Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification. Frontiers Big Data 5: 770585 (2022)
2021
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Erin Kasson, Avineet Kumar Singh, Ming Huang, Dezhi Wu, Patricia A. Cavazos-Rehg:
Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak. Int. J. Medical Informatics 155: 104574 (2021)
2020
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Erin Kasson, Lijuan Cao, Ming Huang, Dezhi Wu, Patricia A. Cavazos-Rehg:
Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping. HCI (49) 2020: 464-468

2010 – 2019

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2017
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  - conf/chi/KeeganCNSKCP17
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Brian C. Keegan, Patricia A. Cavazos-Rehg, Anh Ngoc Nguyen, Saiph Savage, Jofish Kaye, Munmun De Choudhury, Michael J. Paul:
CHI-nnabis: Implications of Marijuana Legalization for and from Human-Computer Interaction. CHI Extended Abstracts 2017: 1312-1317
2016
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Patricia A. Cavazos-Rehg, Melissa J. Krauss, Shaina Sowles, Sarah Connolly, Carlos Rosas, Meghana Bharadwaj, Laura J. Bierut:
A content analysis of depression-related tweets. Comput. Hum. Behav. 54: 351-357 (2016)
[c1]
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Antonio A. Ginart, Sanmay Das, Jenine K. Harris, Roger Wong, Hao Yan, Melissa J. Krauss, Patricia A. Cavazos-Rehg:
Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed "Dabbing" Homograph Tweets. ICHI 2016: 10-13

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