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Lina Zhou
Lina Zhou
Professor of Business Information Systems and Operations Management
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Contact

Lina Zhou, Ph.D.
Professor, BISOM
Professor, Data Science and Business Analytics
lzhou8@charlotte.edu

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Office: Friday 359
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Charlotte, NC 28223

Google Scholar

Lina Zhou

Research Updates

Modeling and Interpreting the Propagation Influence of Neighbor Information in Time-Variant Networks with Exemplification by Financial Risk Prediction. Journal of Management Information Systems.

Information Technology Internal Control Material Weaknesses in Financial Reporting: Categories, Trends, Associations, and Industry Effects. International Journal of Accounting Information Systems.

Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities, Journal of Healthcare Informatics Research.

From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues. AIS Transactions on Human Computer Interaction.

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Research » Health Information Technology

Health Information Technology

It applies information technology to extract, analyze, track, and use health or health care information to improve the quality, access, and efficiency of health care.

Selected Publications

Aldkheel, A. and L. Zhou (2024). Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities. Journal of Healthcare Informatics Research, 8, 88-120. 

Zhang, D, J. Lim, L. Zhou, and A. Dahl (2021), Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems: Toward User-Centered Privacy Protection, JMIR Mental Health, 8(12), December.

Chen, S., L. Zhou, Y. Song, Q. Xu, P. Wang, K. Wang, Y. Ge, and D. Janies (2021), A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis, Journal of Medical Internet Research, 23(1), January, e24889.

Alasmari, A. and L. Zhou (2021), Share to Seek: The Effects of Disease Complexity on Health Information Seeking Behavior, Journal of Medical Internet Research, 23(3), 10.2196/21642.

Wang, P., L. Zhou, D. Mu, D. Zhang, and Q. Shao (2020), What Makes Clinical Documents Helpful and Engaging? An Empirical Investigation of Experience Sharing in an Online Medical Community, International Journal of Medical Informatics, 143, Nov.

Shan, J., L. Zhou, and D. Zhang (2020), What Reveals About Depression Level? The Role of Multimodal Features at the Level of Interview Questions, Information & Management, 57 (7), Nov.

Zhou, L., T. Siddiqui, S.L. Seliger, J.B.Blumenthal, Y. Kang, R. Doerfler, J.C.Fink (2019). Text Preprocessing for Improving Hypoglycemia Detection from Clinical Notes ̶ A Case Study of Patients with Diabetes, International Journal of Medical Informatics, September 129, 374-380.

Alasmari, A. and L. Zhou (2019). How multimorbid health information consumers interact in an online community Q&A platform, International Journal of Medical Informatics, November, 131.

Zhou, L. and A.P. Rupa (2018). Categorization and Association Analysis of Risk Factors for Adverse Drug Events, European Journal of Clinical Pharmacology, 74(4), 389-404.

Kang, Y., L. Zhou, Fink, J., and Doerfler, R. (2018) Disease Specific Ontology of Adverse Events: Ontology extension and adaptation for Chronic Kidney Disease. Computers in Biology and Medicine, 101, 210-217.

Zhou, L., D. Zhang, C. Yang, and Y. Wang (2018). Harnessing Social Media for Health Information Management, Electronic Commerce Research and Applications, 27, January-February: 139-151.

Kang, Y., Y. Wang, D. Zhang, and L. Zhou (2017). The Public’s Opinions on a New School Meals Policy for Childhood Obesity Prevention in the U.S.: A Social Media Analytics Approach. International Journal of Medical Informatics. 103, 83-88.

Alaiad, A. and L. Zhou (2017), Patients’ Adoption of WSN-based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers, IEEE Transactions on Professional Communication, 60(1), 4-23.

Alaiad, A. and L. Zhou (2014). The Determinants of Home Healthcare Robots Adoption: An Empirical Investigation. International Journal of Medical Informatics, 83 (11), 825-840.

L. M. Vizer, L. Zhou, and A. Sears (2009). Automated Stress Detection Using Keystroke and Linguistic Features: An Exploratory Study, International Journal of Human-Computer Studies, 67(10), 870-886.

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