Justin Boutilier
![Boutilier, Justin](/assets/images/2023/_cache/800x1000/Placeholder_wright.jpg)
Professeur adjoint
Bachelor of Science (with Honors) (Acadia University), Doctor of Philosophy (University of Toronto)
- Courriel
Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Publications au cours des 7 dernières années
Articles publiés dans des revues avec comité de lecture
- Jolliff, A., Fields, B., Dudek, A., Elliott, C., Zuraw, M. and Werner, N.E. 2023. Care Partner Confidence and Experiences in Legal Planning for People Living with Dementia: A Mixed Methods Study. The Gerontologist, (In Press).
- Liu, Y., Yu, M., LaMantia, J.N., Lobo, J.M. and Brennan, M.B. 2023. Associations between specialty care and improved outcomes among patients with diabetic foot ulcers. PLOS ONE, (In Press).
- Boutilier, J.J., Yoeli, E., Rathauser, J., Owiti, P., Subbaraman, R. and Jónasson, J.O. 2022. Can digital adherence technologies reduce inequity in tuberculosis treatment success? Evidence from a randomized controlled trial in Nairobi, Kenya. BMJ Global Health, 7.
- Boutilier, J.J. and Chan, T.C.Y. 2022. Drone network design for cardiac arrest response. Manufacturing & Service Operations Management (M&SOM), 24(5): 2387-2796.
- Boutilier, J.J., Loganathar, P., Linden, A., Scheer, E., Noejovich, S., Elliott, C., Zuraw, M. and Werner, N.E. 2022. A Web-Based Platform (CareVirtue) to Support Caregivers of People Living With Alzheimer Disease and Related Dementias: Mixed Methods Feasibility Study. JMIR Aging, 5(30).
- Smith, A.J., Patterson, B.W., Pulia, M.S., Mayer, J., Schwei, .R.J., Nagarajan, R., Liao, F. and Boutilier, J.J. 2022. Multisite Evaluation of Prediction Models for Emergency Department Crowding Before and During the COVID-19 Pandemic. Journal of the American Medical Informatics Association, 30(2): 292–300.
- Alcock, R., Boutilier, J.J. and Siddiq, A. 2021. Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic. INFORMS Journal of Applied Analytics, 52(6): 471-582.
- Boutilier, J.J., Jónasson, J.O. and Yoeli, E. 2021. Improving TB Treatment Adherence Support: The Case for Targeted Behavioral Interventions. Manufacturing & Service Operations Management (M&SOM), 24(6): 2797-3306.
- Boutilier, J.J. 2021. Introducing and Integrating Machine Learning in an Operations Research Curriculum: An Application-Driven Course. INFORMS Transactions on Education, 23(2): 57-135.
- Lee, Y., Mansur, R.B., Brietzke, E., Kapogiannis, D., Delgado-Peraza, F., Boutilier, J.J., Chan, T.C.Y., Carmona, N.E., Rosenblat, J.D., Lee, J.G., Maletic, V., Vinberg, M., Suppes, T., Goldstein, B.I., Ravindran, A.V., Taylor, V.H., Chawla, S., Nogueras-Ortiz, C., Cosgrove, V.E., Kramer, N.E., Ho. R,, Raison, C.A. and McIntyre, R.S. 2021. Peripheral inflammatory biomarkers define biotypes of bipolar depression. Molecular Psychiatry, 26: 3395–3406.
- Sun, Y., Kaur, R., Gupta, S., Paul, R., Das, R., Cho, S.J., Anand, S., Boutilier, J.J., Saria, S., Palma, J., Saluja, S., McAdams, R.M., Kaur, A., Yadav, G. and Singh, H. 2021. Development and Validation of High Definition Phenotype (HDP) based mortality prediction in critical care units. Journal of the American Medical Informatics Association, 4(1).
- Boutilier, J.J., Chan, T.C.Y., Ranjan, M. and Deo, S. 2021. Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis. Journal of Medical Internet Research, 23(1).
- Singh, H., Kusuda, S., McAdams, R.M., Gupta, S., Kalra, J., Kaur, R., Das, R., Anand, S., Pandey, A.K., Cho, S.J., Saluja, S., Boutilier, J.J., Saria, S., Palma, J., Kaur, A., Yadav, G. and Sun, Y. 2021. Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study. Children, 8(1).
- Stoesser, C.E., Boutilier, J.J., Sun, C.L.F., Brooks, S.C., Cheskes, S., Dainty, K.N., Feldman, M., Ko, D., Lin, S., Morrison, L., Scales, D.C. and Chan, T.C.Y. 2021. Moderating effects of out-of-hospital cardiac arrest characteristics on the association between EMS response time and survival. Resuscitation, 169: 31-38.
- Boutilier, J.J. and Chan, T.C.Y. 2020. Ambulance Emergency Response Optimization in Developing Countries. Operations Research, 68(5): 1285-1624.
- Lee, Y., Ragguett, R-M., Mansur, R.B., Boutilier, J.J., Rosenblat, J.D., Trevizol, A., Brietzke, E., Lin, K., Pan, Z., Subramaniapillai, M., Chan, T.C.Y., Fus, D., Park, C., Musial, N., Zuckerman, H., Chen, V.C-H., Ho, R., Rong, C. and McIntyre, R.S. 2018. 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.
- Goli, A., Boutilier, J.J., Craig, T., Sharpe, M.B. and Chan, T.C.Y. 2018. A small number of objective function weight vectors is sufficient for automated treatment planning in prostate cancer. Physics in Medicine & Biology, 63(19).
- Babier, A., Boutilier, J.J., McNiven, A. and Chan, T.C.Y. 2018. Knowledge-based automated planning for oropharyngeal cancer. Medical Physics, 45(7): 2875-2883.
- Babier, A., Boutilier, J.J., Sharpe, M.B., McNiven, A. and Chan, T.C.Y. 2018. Inverse optimization of objective function weights for treatment planning using clinical dose-volume histograms. Physics in Medicine & Biology, 63(10).
- Boutilier, J.J., Brooks, S.C., Janmohamed, A., Byers, A., Buick, J.E., Zhan, C., Schoellig, A.P., Cheskes, S., Morrison, L.J. and Chan, T.C.Y. 2017. Optimizing a Drone Network to Deliver Automated External Defibrillators. Circulation, 135(25): 2454 - 2465.
Chapitres de livres
- Boutilier, J.J. and Albert, L.A. Uncertainty in Facility Location Models for Emergency Medical Services. In International Series in Operations Research & Management Science. Springer, 2023.
Contributions sur invitation et/ou rapports techniques
- Russell, T., Boutilier, J.J., Kleinmann, S. and Goentzel, J. 2020. "Actionable Analysis: Simulating and Visualizing Fuel Distribution During Disasters", June.
Recherche subventionnée au cours des 7 dernières années
De-À | Source | Titre | * | ** | Rôle | Montant |
---|---|---|---|---|---|---|
2023-2024 | Madison Morgridge Center for Public Service | Novel renewable energy networks for health clinic and community resilience | R | O | PI | $ 5,000 |
2022-2024 | National Institutes of Health | R44 SBIR: Design, development, and validation of an AI- enabled legal planning and financial management training tool for ADRD caregivers | R | O | Co-I | $ 221,922 |
2022-2023 | Madison Fall Competition | Microgrid + Micromobility for Healthcare | S | O | PI | $ 42,473 |
2021-2022 | National Institutes of Health | R43 SBIR: Design, development, and validation of an AI- enabled legal planning and financial management training tool for ADRD caregivers | R | O | Co-I | $ 26,971 |
2020-2022 | National Institutes of Health | R41 STTR: Development of a Caregiver Application and AI- Enabled Intelligent Assistant to Support Families and Formal Care Providers in Caring for Persons with Alzheimer's Disease and Related Dementias | R | O | Co-I | $ 23,962 |
2020-2022 | Madison Global Health Institute | Community-based Chronic Disease Screening and Management in Low Resource Settings | R | O | PI | $ 23,625 |
2020-2021 | Madison Wisconsin Partnership Program | Wisconsin Real-time Emergency Department Surveillance and Responsive Training (WIRED-RT) | R | O | Co-I | $ 37,258 |
2020-2021 | Child Health Imprints | In-hospital sepsis detection for neotates using deep learning | R | O | PI | $ 30,000 |
2020-2021 | National Science Foundation | RAPID: An Online Matching Platform for Coordinating Supply and Demand for Medical Equipment During the COVID-19 Pandemic | E | F | PI | $ 100,000 |
LÉGENDE :
* But
C: Contrat de recherche | E: Subvention d'équipement | R : Subvention de recherche | S : Fonds de soutien | P : Subvention pédagogique | O : Autre | U : Inconnu
**Genre
C : Conseils subventionnaires | G : Gouvernements | F : Fondations | I : Financement interne UO | O : Autre | U : Inconnu
Rôle
PI = Chercheur(e) principal(e) | Co-I = Co-chercheur(e) | Co-PI = Co-Chercheur(e) principal(e)