Publications
Wongvibulsin S. Fostering Diversity and Inclusion in the Machine Intelligence Community. Nature Machine Intelligence. 2019.
Wongvibulsin S., Martin S., Steinhubl S., Muse E. Connected Health Technology for Cardiovascular Disease Prevention and Management. Current Treatment Options. 2019. (In Press)
Yang W., Shah L., Spaulding E., Wang J., Xun H., Weng D., Shan R., Wongvibulsin S., Martin S. The Clinician Role Amidst the Rise of Mobile Health Technology. (In Submission)
Yang W., Spaulding E., Lumelsky D., Marvel F., Vilarino V., Wang, J., Shah L., Xun, H., Shan, R., Wongvibulsin S., Martin S. iShare: A Novel Healthcare Delivery Pathway for Smart Technology Recirculation in Digital Health Intervention Studies and Beyond. (In Submission)
Wongvibulsin S., Martin S., Saria S., Zeger S., Murphy S. Delivering Precision Behavior Change with Digital Medicine. (In Submission)
Wongvibulsin S., Ho B., Kwatra S. Embracing Machine Learning and Digital Health Technologies for Precision Dermatology. (In Submission)
Shan R., Wongvibulsin S., Martin S. How Partnerships Between Humans and Technology Can Enhance Health Care. Cardiology Consultant. 2018.
Wongvibulsin S.*, Daza E.J.* Generating Actionable Insights: Machine Learning for Causal Inference with Individual-Level Patient Generated Data. MLHC: Proceedings of Machine Learning Research. 2018. (*equal contribution authors)
Wang J., Wongvibulsin S., Henry K., Fujita S. Quantifying and Visualizing Medication Adherence in Patients Following Acute Myocardial Infarction. AMIA Annu Symp Proc. 2017; 2017: 2299-2303.
Wongvibulsin S., Lee S., Hui K. Achieving Balance Through the Art of Eating: Demystifying Eastern Nutrition and Blending it with Western Nutrition. J Traditional and Complementary Medicine 2012; 2:1-5.
Wongvibulsin S., Vazirani, S., Li Z., Heber, D. Vitamin D – Beyond Bones: Its Relationship to Obesity, Metabolic Syndrome, and Diabetes. J Nutritional Therapeutics 2014; 3: 133-141.
Presentations
2018 Machine Learning for Healthcare Conference
Generating Actionable Insights: Machine Learning for Causal Inference with Individual-Level Patient Generated Data.
2018 Eastern North American Region International Biometric Society Spring Meeting
Machine Learning Algorithms for Survival, Longitudinal, and Multivariate (SLAM) Data with Applications to Sudden Cardiac Arrest
2018 Johns Hopkins Department of Medicine Research Retreat
Machine Learning Algorithms for Survival, Longitudinal, and Multivariate (SLAM) Data with Applications to Sudden Cardiac Arrest
2017 American Medical Informatics Association Annual Symposium
Quantifying and Visualizing Medication Adherence in Patients Following Acute Myocardial Infarction.
2017 Society for Nutrition Education and Behavior Annual Conference
The Johns Hopkins School of Medicine (JHSOM) Teaching Kitchen: A Novel Recipe for Nutrition Education.
2017 American Thoracic Society (ATS) International Conference
- Predicting Diuretic Responsiveness in Acute Kidney Injury Patients in the Intensive Care Unit.
- Can Septic Shock Be Identified Early? Evaluating Performance of a Targeted Real-Time Early Warning Score (TREWScore) for Septic Shock in a Community Hospital: Global and Subpopulation Performance.
2013 Biomedical Engineering Society (BMES) Conference
Three-Dimensional Printed Sucrose Preforms for Aqueous-Polymer Scaffold Fabrication.
2013 University of California Systemwide Bioengineering Symposium
Novel Biomaterials for Tissue Engineering: Three-Dimensional Printed Sucrose Preforms for Aqueous-Based Scaffold Fabrication.