Selected Journal Papers

[J8] Contribution of Free-Text Comments to the Burden of Documentation: Assessment and Analysis of Vital Sign Comments in Flowsheets

Zhijun Yin, Yongtai Liu, Allison McCoy, Bradley Malin, Patricia Sengstack
Journal of Medical Internet Research (JMIR). 2021 Mar 4;23(3):e22806. (Impact Factor: 5.030)

[J7] Health and Kinship Matter: Learning About Direct-To-Consumer Genetic Testing User Experiences via Online Discussions

Zhijun Yin, Lijun Song,Ellen W. Clayton,Bradley A. Malin
PLOS ONE. PLoS ONE 15(9): e0238644.(Impact Factor: 2.870)

[J6] Electronic Health Record Phenotypes Associated With Genetically Regulated Expression of CFTR and Application to Cystic Fibrosis

Xue Zhong, Zhijun Yin, Gengjie Jia, Dan Zhou, Qiang Wei, Annika Faucon,Patrick Evans, Eric Gamazon, Bingshan Li, Ran Tao, Andrey Rzhetsky, Lisa Bastarache, and Nancy J Cox
Genetics in Medicine (GIM). 2020:1-10.(Impact Factor: 8.904)

[J5] Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques

Yang Liu, Zhijun Yin
Journal of Medical Internet Research (JMIR). 2020;22(6):e13745. (Impact Factor: 5.030)

[J4] A Systematic Literature Review of Machine Learning in Online Personal Health Data

Zhijun Yin, Lina Sulieman, and Bradley Malin
Journal of the American Medical Informatics Association (JAMIA), 2019. 1;26(6):561-576. (Impact Factor: 4.112)

[J3] The Therapy is Making Me Sick: How Online Portal Communications Between Breast Cancer Patients and Physicians Indicate Medication Discontinuation

Zhijun Yin, Morgan Harrell, Jeremy Warner, Qingxia Chen, Daniel Fabbri, and Bradley Malin
Journal of the American Medical Informatics Association (JAMIA), 2018. 25 (11): 1444-1451. (Impact Factor: 4.112)

[J2] It’s All in the Timing: Calibrating Temporal Penalties for Biomedical Data Sharing

Weiyi Xia, Zhiyu Wan, Zhijun Yin, James Gaupp, Yongtai Liu, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley Malin
Journal of the American Medical Informatics Association (JAMIA), 2017. 25(1): 25-31. (Impact Factor: 4.112)

[J1] A Scalable Framework to Detect Personal Health Mentions on Twitter

Zhijun Yin, Daniel Fabbri, S. Trent Rosenbloom, and Bradley Malin
Journal of Medical Internet Research (JMIR), 2015;17:e138. (Impact Factor: 5.030)

Selected Conference Papers

[C10] Biomedical Research Cohort Membership Disclosure on Social Media

Yongtai Liu, Chao Yan, Zhijun Yin, ZhiyuWan,Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Clayton, and Bradley Malin
in Proceedings of the 2019 American Medical Informatics Association Annual Symposium (AMIA), pp. 607-616, Washington DC, November 2019

[C9] Why Patient Portal Messages Indicate Risk of Readmission for Patients with Ischemic Heart Disease

Lina Sulieman, Zhijun Yin, and Malin Bradley
in Proceedings of the 2019 American Medical Informatics Association Annual Symposium (AMIA), pp.828-837,Washington DC, November 2019

[C8] Patient Portal Content Associated with Initialing Hormonal Therapy after a Breast Cancer Diagnosis

Zhijun Yin, Jeremy Warner, Qingxia Chen, and Bradley Malin
in Proceedings of the 2019 American Medical Informatics Association Annual Symposium (AMIA), pp. 962-971,Washington DC, November 2019

[C7] Learning When Communications Between Healthcare Providers Indicate Hormonal Therapy Medication Discontinuation

Zhijun Yin, Jeremy Warner, and Bradley Malin
in Proceedings of the 2018 American Medical Informatics Association Annual Symposium (AMIA), pp. 1591-1600, San Francisco, CA, November 2018

[C6] Mining the Best Observational Window to Model Social Phenomena

Chao Yan, Zhijun Yin, Stanley Xiang, You Chen, Yevgeniy Vorobeychik, Daniel Fabbri, Abel Kho, David Liebovitz, and Bradley Malin
in Proceedings of 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC), pp. 46-55, Philadelphia, PA, October 2018

[C5] Talking About My Care: Detecting Mentions of Hormonal Therapy Adherence Behavior in Online Breast Cancer Community

Zhijun Yin, Wei Xie, and Bradley Malin
in Proceedings of the 2017 American Medical Informatics Association Annual Symposium (AMIA), pp. 1868-1877,Washington DC, November 2017

[C4] Reciprocity and Its Association with Treatment Adherence in an Online Breast Cancer Forum

Zhijun Yin, Lijun Song, and Bradley Malin
in Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 618-623, Thessaloniki, Greece, June 2017

[C3] The Power of Patient Voice: Learning Indicators of Hormonal Therapy Adherence from Online Breast Cancer Forum

Zhijun Yin, Bradley Malin, Jeremy Warner, Pei-Yun Hsueh, and Ching-Hua Chen
in Proceedings of the 11th International AAAI Conference on Web and Social Media (ICWSM), pp. 337-346, Montreal, Canada, May 2017. (Acceptance 14%)

[C2] #PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information

Zhijun Yin, You Chen, Jimeng Sun, Daniel Fabbri, and Bradley Malin
in Proceedings of the 10th International AAAI Conference on Web and Social Media (ICWSM), pp. 456-465, Cologne, Germany, May 2016. (Acceptance 17%)

[C1] Mining Twitter as a First Step Toward Assessing the Adequacy of Gender Identification on Intake Form

Amanda Hicks, William Hogan, Michael Rutherford, Bradley Malin, Mengjun Xie, Christiane Fellbaum, Zhijun Yin, Daniel Fabbri, Josh Hanna, and Jiang Bian
in Proceedings of the 2015 American Medical Informatics Association Annual Symposium (AMIA), pp. 611-620, San Francisco, November 2016

Book Chapter

[B1] Learning Hormonal Therapy Medication Adherence From an Online Breast Cancer Forum

Zhijun Yin, Jeremy Warner, Lijun Song, Pei-Yun Hsueh, Ching-Hua Chen, Bradley Malin
in Social Web and Health Research, pp. 233-257, Springer, Cham, 2019