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Author Details
Full Name
Zhijun Yin
Affiliation
Vanderbilt University, Vanderbilt University Medical Center
ORCID
0000-0002-3075-1337
Career Start Year
2015
Papers
26
H Index
8
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36790847
Examining Rural and Urban Sentiment Difference in COVID-19-Related Topics on Twitter: Word Embedding-Based Retrospective Study.
J Med Internet Res
2023
37745352
Fact Check: Assessing the Response of ChatGPT to Alzheimer's Disease Statements with Varying Degrees of Misinformation.
medRxiv
2023
37976095
Examining Online Behaviors of Adult-Child and Spousal Caregivers for People Living With Alzheimer Disease or Related Dementias: Comparative Study in an Open Online Community.
J Med Internet Res
2023
37350877
The Hidden Patient Connections: Predicting Hormonal Therapy Medication Discontinuation Using Hypergraph Neural Network on Clinical Communications.
AMIA Jt Summits Transl Sci Proc
2023
37117219
A game theoretic approach to balance privacy risks and familial benefits.
Sci Rep
2023
37448112
Clinic choice of long or short segment pedicle screw-rod fixation in the treatment of thoracolumbar burst fracture: From scan data to numerical study.
Int J Numer Method Biomed Eng
2023
35275077
The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study.
J Med Internet Res
2022
35854740
Mining Medication Use Patterns from Clinical Notes for Breast Cancer Patients Through a Two-Stage Topic Modeling Approach.
AMIA Jt Summits Transl Sci Proc
2022
35854737
"Please Advise": Understanding the Needs of Informal Caregivers of People with Alzheimer's Disease and Related Dementia from Online Communities Through a Structured Topic Modeling Approach.
AMIA Jt Summits Transl Sci Proc
2022
35854721
Predicting Hormonal Therapy Medication Discontinuation for Breast Cancer Patients using Structured Data in Electronic Medical Records.
AMIA Jt Summits Transl Sci Proc
2022
37113452
Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis.
JMIR Infodemiology
2022
35182149
Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic.
J Am Med Inform Assoc
2022
33661128
Contribution of Free-Text Comments to the Burden of Documentation: Assessment and Analysis of Vital Sign Comments in Flowsheets.
J Med Internet Res
2021
32510460
Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques.
J Med Internet Res
2020
32898148
Health and kinship matter: Learning about direct-to-consumer genetic testing user experiences via online discussions.
PLoS One
2020
32308893
Patient Messaging Content Associated with Initiating Hormonal Therapy after a Breast Cancer Diagnosis.
AMIA Annu Symp Proc
2020
32308879
Why Patient Portal Messages Indicate Risk of Readmission for Patients with Ischemic Heart Disease.
AMIA Annu Symp Proc
2020
32308855
Biomedical Research Cohort Membership Disclosure on Social Media.
AMIA Annu Symp Proc
2020
30908576
A systematic literature review of machine learning in online personal health data.
J Am Med Inform Assoc
2019
29036325
It's all in the timing: calibrating temporal penalties for biomedical data sharing.
J Am Med Inform Assoc
2018
29854258
Talking About My Care: Detecting Mentions of Hormonal Therapy Adherence Behavior in an Online Breast Cancer Community.
AMIA Annu Symp Proc
2018
30815205
Learning When Communications Between Healthcare Providers Indicate Hormonal Therapy Medication Discontinuation.
AMIA Annu Symp Proc
2018
30380083
The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation.
J Am Med Inform Assoc
2018
31448180
#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information.
Proc Int AAAI Conf Weblogs Soc Media
2016
26048075
A Scalable Framework to Detect Personal Health Mentions on Twitter.
J Med Internet Res
2015
26958196
Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms.
AMIA Annu Symp Proc
2015
1 - 26 of 26
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Vanderbilt University
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Vanderbilt University Medical Center
Co-authored papers
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E Clayton
Harvard Medical School, Vanderbilt University, Yale University Yale Law School
Co-authored papers
6
Yongtai Liu
Vanderbilt University
Co-authored papers
6
Jeremy L Warner
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Co-authored papers
5
Murat Kantarcioglu
University of Texas at Dallas
Co-authored papers
5
Weiyi Xia
Eye & ENT Hospital, Shanghai Medical School, Fudan University
Co-authored papers
4
Daniel Fabbri
Vanderbilt University Medical Center
Co-authored papers
4
Yevgeniy Vorobeychik
Washington University in St. Louis St. Louis
Co-authored papers
4
Chao Yan
Vanderbilt University Medical Center
Co-authored papers
4
Lina Sulieman
Vanderbilt University Medical Center
Co-authored papers
2
Qingxia Chen
Vanderbilt University Medical Center
Co-authored papers
2
J Thomas Brown
Vanderbilt University Medical Center
Co-authored papers
1
Lijun Song
Vanderbilt University
Co-authored papers
1
James Powers
Vanderbilt University Medical Center
Co-authored papers
1
Congning Ni
Vanderbilt University
Co-authored papers
1
Chao Yan
Department of Biomedical Informatics Vanderbilt University Medical Center Nashville
Co-authored papers
1
William R Hogan
College of Medicine, University of Florida
Co-authored papers
1
Myrna Wooders
Vanderbilt University
Co-authored papers
1
Congning Ni
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Jiangping Hou
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Aris Gkoulalas-Divanis
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