Segui
Yunpeng Zhao
Yunpeng Zhao
Lowe's Tech Hub
Email verificata su lowes.com
Titolo
Citata da
Citata da
Anno
Using social media data to understand the impact of promotional information on laypeople’s discussions: a case study of lynch syndrome
J Bian, Y Zhao, RG Salloum, Y Guo, M Wang, M Prosperi, H Zhang, X Du, ...
Journal of medical Internet research 19 (12), e414, 2017
512017
Assessing mental health signals among sexual and gender minorities using Twitter data
Y Zhao, Y Guo, X He, Y Wu, X Yang, M Prosperi, Y Jin, J Bian
Health informatics journal 26 (2), 765-786, 2020
332020
Exploring eating disorder topics on Twitter: machine learning approach
S Zhou, Y Zhao, J Bian, AF Haynos, R Zhang
JMIR Medical Informatics 8 (10), e18273, 2020
252020
Understanding perceptions and attitudes in breast cancer discussions on Twitter
F Modave, Y Zhao, J Krieger, Z He, Y Guo, J Huo, M Prosperi, J Bian
Studies in health technology and informatics 264, 1293, 2019
202019
Effects of brief exposure to misinformation about e-cigarette harms on twitter: a randomised controlled experiment
C Wright, P Williams, O Elizarova, J Dahne, J Bian, Y Zhao, ASL Tan
BMJ open 11 (9), e045445, 2021
192021
Analysis of Twitter to identify topics related to eating disorder symptoms
S Zhou, Y Zhao, R Rizvi, J Bian, AF Haynos, R Zhang
2019 IEEE international conference on healthcare informatics (ICHI), 1-4, 2019
192019
Detecting associations between dietary supplement intake and sentiments within mental disorder tweets
Y Wang, Y Zhao, J Zhang, J Bian, R Zhang
Health informatics journal 26 (2), 803-815, 2020
132020
Integrating crowdsourcing and active learning for classification of work-life events from tweets
Y Zhao, M Prosperi, T Lyu, Y Guo, L Zhou, J Bian
Trends in Artificial Intelligence Theory and Applications. Artificial …, 2020
102020
Deep learning models in detection of dietary supplement adverse event signals from Twitter
Y Wang, Y Zhao, D Schutte, J Bian, R Zhang
Jamia open 4 (4), ooab081, 2021
92021
Data and model biases in social media analyses: a case study of COVID-19 Tweets
Y Zhao, P Yin, Y Li, X He, J Du, C Tao, Y Guo, M Prosperi, P Veltri, X Yang, ...
AMIA Annual Symposium Proceedings 2021, 1264, 2021
92021
Biases in using social media data for public health surveillance: A scoping review
Y Zhao, X He, Z Feng, S Bost, M Prosperi, Y Wu, Y Guo, J Bian
International Journal of Medical Informatics 164, 104804, 2022
82022
Detecting signals of associations between dietary supplement use and mental disorders from Twitter
Y Wang, Y Zhao, J Bian, R Zhang
2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI …, 2018
82018
Mining Twitter to assess the determinants of health behavior towards palliative care in the United States
Y Zhao, H Zhang, J Huo, Y Guo, Y Wu, M Prosperi, J Bian
AMIA Summits on Translational Science Proceedings 2020, 730, 2020
62020
Smokers’ likelihood to engage with information and misinformation on twitter about the relative harms of e-cigarette use: Results from a randomized controlled trial
J Liu, C Wright, P Williams, O Elizarova, J Dahne, J Bian, Y Zhao, ...
JMIR public health and surveillance 7 (12), e27183, 2021
52021
Understanding perceptions and attitudes toward genetically modified organisms on twitter
I Jun, Y Zhao, X He, R Gollakner, C Court, O Munoz, J Bian, I Capua, ...
International Conference on Social Media and Society, 291-298, 2020
42020
Exploring Lung Cancer Screening Discussions on Twitter.
Y Zhao, J Huo, MCF Prosperi, Y Guo, Y Li, J Bian
MedInfo, 2011-2012, 2019
32019
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization
A Chen, Y Zhao, Y Zheng, H Hu, X Hu, JN Fishe, WR Hogan, ...
Informatics 11 (1), 4, 2024
2024
Smokers’ Likelihood to Engage with Misinformation of E-cigarette Relative Harms on Twitter: Results from a Randomized Controlled Experiment.
CL Wright, A Tan, J Dahne, J Bian, O Elizarova, Y Zhao, PM Williams, ...
Society for Research on Nicotine and Tobacco (SRNT) Annual Meeting, 2021
2021
Effects of brief exposure to misinformation on e-cigarette harms on twitter: Results from a randomized controlled experiment
A Tan, P Williams, O Elizarova, J Dahne, Y Zhao, J Bian, C Wright
APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24-28), 2020
2020
Smokers’ Likelihood to Engage with Misinformation of E-cigarette Relative Harms on Twitter: Results from a Randomized Controlled Experiment
J Liu, CL Wright, PM Williams, O Elizarova, JR Dahne, J Bian, Y Zhao, ...
Addictive Behaviors, 2020
2020
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