Research

My research studies the inputs and outputs of the health care system to understand why health care services produce different outcomes for patients. I spent a lot of time thinking about how different types of data can be used to understand this relationship. Statistics and machine learning are the engine that powers my analysis. A large part of my research is also working with health care professionals to integrate insights and evidence-based interventions into their daily practice, so that they can do their best work.

Most recently, my doctoral research contributed to the understanding of health care resource use patterns of community mental health services, and making the health care funding reform in the province of Ontario and Canada one step closer to reality. My doctoral research was made possible by the Ontario Trillium Scholarship from the Government of Ontario, the University of Waterloo, and interRAI Canada.

Journal Articles

1. N. Tran, J.W. Poss, C. Perlman, and J.P. Hirdes. Case-Mix Classification for Mental Health Care in Community Settings: A Scoping Review. Health Services Insights, 12, 2019. [link]
2. I.E.R. Waudby-Smith, N. Tran, J.A. Dubin, and J. Lee. Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients. PLOS ONE 13(6): e0198687, 2018. [link]
3. B.Y.B. Kim, A. Sharafoddini, N. Tran, E.Y. Wen, and J. Lee. Consumer mobile apps for potential drug-drug interaction check: Systematic review and content analysis using the mobile app rating scale (MARS). JMIR Mhealth and Uhealth, 6(3):e74, 2018. [link]
4. N. N. Tran and J. Lee. Online reviews as health data: Examining the association between availability of health care services and patient star ratings exemplified by the yelp academic dataset. JMIR Public Health Surveillance, 3(3):e43, 2017. [link]

Conference Proceedings

1. N. Tran, C. Perlman. Utility of Machine Learning Techniques for Predicting Psychiatric Readmissions. Annual Scientific Symposium of the Canadian Academy of Psychiatric Epidemiology, 2019.
2. G. Geri, L. Ferrer, NK. Tran, M. Jamme, J. Lee, and A. Vieillard-Baron. Impact of mechanical ventilation setting on the occurrence of acute kidney injury in ICU patients: insights from the MIMIC-III database. Proceedings of the Congrès Réanimation de la Société de Réanimation de Langue Française (SRLF), 2019. [link]
3. B.Y. Kim, A. Sharafoddini, N. Tran, E. Wen, and J. Lee. A review of the accuracy and comprehensiveness of the pharmaceutical information within drug to drug interaction mobile applications. Proceedings of the University of Waterloo Pharmacy Research Day, 2018. [link]
4. N. Tran and J. Lee. Using multiple sentiment dimensions of nursing notes to predict mortality in the intensive care unit. Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2018. [link]
5. N. Tran and B. Miner. Decision making in phenotypic plasticity response to predatory crabs by marine snails. Western Washington University Scholars Week Conference, Bellingham, WA, 2012.

Peer Reviewer for

Journal of Medical Internet Research
JMIR Medical Informatics
JMIR Mental Health