Shannon Wongvibulsin

Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis

Scott L. Zeger, Katherine C. Wu, Shannon Wongvibulsin, 2019, BMC Medical Research Methodology.

Improving Clinical Translation of Machine Learning Approaches Through Clinician-Tailored Visual Displays of Black Box Algorithms: Development and Validation

Scott L. Zeger, Katherine C. Wu, Shannon Wongvibulsin, 2020, JMIR medical informatics.

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Shannon Wongvibulsin, Jane Wang, George Hung, 2019, JMIR mHealth and uHealth.

Quantifying and Visualizing Medication Adherence in Patients Following Acute Myocardial Infarction

Jane Wang, Katharine Henry, Shannon Wongvibulsin, 2017, AMIA.

The role of a clinician amid the rise of mobile health technology

Daniel Weng, Shannon Wongvibulsin, Jane Wang, 2019, J. Am. Medical Informatics Assoc..

Enabling individualised health in learning healthcare systems

Scott L Zeger, Shannon Wongvibulsin, S. Zeger, 2019, BMJ Evidence-Based Medicine.

An Individualized, Data-Driven Digital Approach for Precision Behavior Change

Suchi Saria, Susan A. Murphy, Scott L. Zeger, 2020, American journal of lifestyle medicine.

Technical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation

Shannon Wongvibulsin, Seth S Martin, William E Yang, 2019, JMIR mHealth and uHealth.