Submitted Papers

  1. K.B. Adams, J.J. Boutilier, S. Deo, Y. Mintz, "Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization", 2023.
  2. J. Baek, J.J. Boutilier, V. Farias, J.O. Jónasson, E. Yoeli, "Policy Optimization for Personalized Interventions in Behavioral Health," 2023.
  3. J.Shin, L.Marla, J.J. Boutilier, "Heterogeneous Facility Location under Coordination and Collaboration: The Case of Ambulance-Bystander-Drone Coordination," 2022.

Published Papers

  1. S. Rana, T. Russell, J.J. Boutilier, J. Goentzel, “EXPRESS: Modeling Operational Flow Capacity and Evaluating Disaster Interventions for Fuel Distribution,” Production and Operations Management, 2024.
  2. J.J. Boutilier, C. Michini, Z. Zhou, "Optimal Multivariate Decision Trees," Constraints, 2023.
  3. Y. Liu, M. Yu, J.N. LaMantia, J.M. Lobo, J.J. Boutilier, Y. Liu, M.B. Brennan, “Associations between specialty care and improved outcomes among patients with diabetic foot ulcers,” PloS One, 2023.
  4. A. Jolliff, B. Fields, J.J. Boutilier, A. Dudek, C. Elliott, M. Zuraw, N. Werner, “Care Partner Confidence and Experiences in Legal Planning for People Living with Dementia: A Mixed Methods Study,” The Gerontologist, 2023.
  5. J.J. Boutilier, E. Yoeli, J. Rathauser, P. Owiti, R. Subbaraman, J.O. Jónasson, "Can digital adherence technologies reduce inequity in tuberculosis treatment success? Evidence from a randomized controlled trial in Nairobi, Kenya", BMJ Global Health, 2022.
  6. A.J. Smith, B.W. Patterson, M.S. Pulia, J. Mayer, R.J. Schwei, R. Nagarajan, F. Liao, M.N. Shah, J.J. Boutilier, "Multisite Evaluation of Prediction Models for Emergency Department Crowding Before and During the COVID-19 Pandemic," Journal of the American Medical Informatics Association, 2022.
  7. J.J. Boutilier, P. Loganathar, A. Linden, N. Scheer, S. Nejoevich, A. Kind, C. Elliott, M. Zuraw, N. E. Werner, "CareVirtue: A mixed methods feasibility study of a web-based platform to support caregivers of people living with Alzheimer’s disease and related dementia," JMIR Aging, 2022.
  8. S. N. Brice, J.J. Boutilier, D. Gartner, P.R. Harper, V. Knight, J. Lloyd, A.D. Pusponegoro, A.P. Rini, J. Turnbull-Ross, M. Tuscon, “Emergency services utilization in Jakarta, Indonesia: A cross-sectional study of patients attending hospital emergency departments,” BMC Health Services Research, 2022.
  9. J.J. Boutilier, C. Michini, Z. Zhou, "Shattering Inequalities for Learning Optimal Decision Trees," 19th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), June 20-23, 2022, Los Angeles, CA, USA.
    • Winner of the 2022 CPAIOR conference best paper award
  10. J.J. Boutilier, T.C.Y. Chan, “Drone network design for cardiac arrest response,” Manufacturing and Service Operations Management, 2022.
    • Finalist for the 2022 Pierskalla Best Paper Award
  11. C.E. Stoesser, J.J Boutilier, C.L.F. Sun, S.C. Brooks, S. Cheskes, K.N. Dainty, M. Feldman, D. Ko, S. Lin, L.J. Morrison, D.C. Scales, T.C.Y. Chan, “Out-of-hospital cardiac arrest response characteristics moderate the effect of response time on survival,” Resuscitation 169, 31-38, 2021.
  12. R. Alcock, J.J. Boutilier, A. Siddiq, "Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic," INFORMS Journal on Applied Analytics, 2021.
    • Finalist and honorable mention for the 2021 Doing Good with Good OR Competition
  13. J.J. Boutilier, J.O. Jónasson, E. Yoeli, “Improving TB Treatment Adherence Support: The Case for Targeted Behavioral Interventions,” Manufacturing and Service Operations Management, 2021.
    • Finalist for the 2021 Pierskalla Best Paper Award
  14. J. J. Boutilier, T. C. Y. Chan, Introducing and integrating machine learning in an operations research curriculum: an application-driven course," INFORMS Transactions on Education, 2021.
  15. Y. Lee, R.B. Mansur, E. Brietzke, D. Kapogiannis, F. Delgado-Peraza, J.J. Boutilier, T.C.Y. Chan, N.E. Carmona, J.D. Rosenblat, J.G. Lee, V. Maletic, M. Vinberg, T. Suppes, B.I. Goldstein, A.V. Ravindran, V.H. Taylor, S. Chawla, C. Nogueras-Ortiz, V.E. Cosgrove, N.E. Kramer, R. Ho, C.A. Raison, R.S. McIntyre, "Peripheral inflammatory biomarkers define biotypes of bipolar depression," Molecular Psychiarty 26, 3395-3406, 2021.
  16. Y. Sun, R. Kaur, S. Gupta, R. Paul, R. Das, S.J. Cho, S. Anand, J.J. Boutilier, S. Saria, J. Palma, S. Saluja, R.M. McAdams, A. Kaur, G. Yadav, H. Singh, "Development and Validation of High Definition Phenotype (HDP) based mortality prediction in critical care units," Journal of the American Medical Informatics Association 4(1), 2021.
  17. J.J. Boutilier, T.C.Y. Chan, M. Ranjan, S. Deo, “Machine learning based risk stratification for early detection of diabetes and hypertension in resource-limited settings,” Journal of Medical Internet Research 23(1), 2021.
  18. H. Singh, S. Kusuda, R.M. McAdams, S. Gupta, J. Kalra, R. Kaur, R. Das, S. Anand, A.K. Pandey, S.J Cho, S. Saluja, J.J Boutilier, S. Saria, J. Palma, A. Kaur, G. Yadav, Y. Sun. "Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study," Children 8(1), 2021.
  19. J.J. Boutilier, T.C.Y. Chan, “Ambulance Emergency Response Optimization in Developing Countries,” Operations Research 63(5), 1315-1334, 2020.
    • Runner-up for the 2020 Pierskalla Best Paper Award
  20. Y. Lee, R.M. Ragguett, R.B. Mansur, J.J. Boutilier, J.D. Rosenblat, A. Trevizol, E. Brietzke, K. Lin, Z. Pan, M. Subramaniapillai, T.C.Y. Chan, D. Fus, C. Park, N. Musial, H. Zuckerman, V.C.H. Chen, R. Ho, C. Rong, R.S. McIntyre, "Applications of machine learning algorithms to predict therapeutic outcomes in depression: a meta-analysis and systematic review," Journal of Affective Disorders 241(1), 519-532, 2018.
  21. A. Goli, J.J. Boutilier, T. Craig, M.B. Sharpe, T.C.Y. Chan, “A small number of objective function weight vectors is sufficient for automated treatment planning in prostate cancer,” Physics in Medicine and Biology 63(19), 2018.
  22. A. Babier, J. J. Boutilier, A. L. McNiven, T. C. Y. Chan, “Knowledge-based automated planning for oropharyngeal cancer,” Medical Physics 45(7), 2875-2883,2018.
  23. A. Babier, J. J. Boutilier, M. B. Sharpe, A. L. McNiven, T. C. Y. Chan, “Inverse optimization of objective function weights for treatment planning using clinical dose-volume histograms,” Physics in Medicine and Biology 63(10), 2018.
  24. J.J. Boutilier, S.C. Brooks, A. Janmohamed, A. Byers, C. Zhan, J.E. Buick, A.P. Schoellig, S. Cheskes, L.J. Morrison, T.C.Y. Chan, “Optimizing a drone network to deliver automated external defibrillators,” Circulation 135(25), 2454-2465, 2017.
    • Winner of the 2016 American Heart Association Young Investigator Award
  25. J.J. Boutilier, T. Craig, M.B. Sharpe, T.C.Y. Chan, "Sample size requirements for knowledge-based treatment planning," Medical Physics 43(3), 1212-1221, 2016.
  26. J.J. Boutilier, T. Lee, T. Craig, M.B. Sharpe, T.C.Y. Chan, "Models for Predicting Objective Function Weights in Prostate Cancer IMRT," Medical Physics 42(4), 1586-1595, 2015.

Dissertations

  1. J.J. Boutilier, “Emergency Medical Services Response Optimization,” PhD, University of Toronto, 2018.
  2. J.J. Boutilier, "Why the bad guys always get caught,", B.Sc. (Hons.), Acadia University, 2013.