Dionne M. Aleman

Professional Interests

Large-scale health care optimization, simulation and machine learning; medical applications of operations research, pandemic disease spread modeling and preparedness; radiotherapy treatment design; organ transplant matching and survival prediction

Recent Publications

• Benjamin Z. Tham, Dionne M. Aleman, Robert K Heaton, Håkan Nordström, Catherine Coolens. Physical dose validation of dynamic treatment for Gamma Knife radiosurgery. Medical Physics. 51(5):3635–3647. 2024.

• Faraz Khoshbakhtian, Hamidreza Validi, Mario Ventresca, Dionne M. Aleman. Optimal design of vaccination policies: A case study for Newfoundland and Labrador. arXiv. 2023.

• Quynh Pham, David Wong, Kaylen J Pfisterer, Dionne M. Aleman, Nick Bansback Der, Joseph A Cafazzo, Alexander J Casson, Brian CF Chan, William G Dixon, Gerasimos Kakaroumpas, Claudia Lindner, Niels Peek, Henry WW Potts, Barbara Ribeiro, Emily Seto, Charlotte Stockton-Powdrell, Alexander J Thompson, Sabine N van der Veer, on behalf of the International Centre for Translational Digital Health. The complexity of transferring remote monitoring and virtual care technology between countries: lessons from an international workshop. Journal of Medical Internet Research. 25:e46873. 2023.

• Pieter de Jager, Dionne M. Aleman, Nancy Baxter, Chaim Bell, Merve Bodur, Andrew Calzavara, Robert Campbell, Michael W Carter, Scott Emerson, Anna Gagliardi, Jonathan Irish, Danielle Martin, Samantha Lee, Marcy Saxe-Braithwaite, Pardis Seyedi, Julie Takata, Suting Yang, Claudia Zanchetta, David R Urbach. CMAJ Open. 11(6):E1164–E1180. 2023.

• Hootan Kamran, Dionne M. Aleman, Michael W Carter, Kieran M Moore. Spatio-temporal clustering of multi-location time series to model seasonal influenza spread. IEEE Journal of Biomedical and Health Informatics. 27(4):2138–2148. 2023.

• Hamed Shourabizadeh, Dionne M. Aleman, Louis-Martin Rousseau, Arjun D Law, Auro Viswabandya, Fotios V Michelis. Machine learning for the prediction of survival post-allogeneic hematopoietic cell transplantation: A single-center experience. Acta Haematologica. 147(3): 280–291. 2023.

• Lizeth Carolina Riascos-Álvarez, Merve Bodur, Dionne M. Aleman. A branch-and-price algorithm enhanced by decision diagrams for the kidney exchange problem. Manufacturing & Service Operations Management. 26(2):407-795. 2023.

• Yunsheng Chen, Dionne M. Aleman, Thomas G Purdie, Chris J McIntosh. Understanding machine learning classifier decisions in automated radiotherapy quality assurance. Physics in Medicine and Biology. 67(2):025001. 2022.

• Hootan Kamran, Dionne M. Aleman, Chris McIntosh, Thomas G Purdie. SuPART: A supervised classifier for high-dimensional, imbalanced, sparse datasets with application to automated radiotherapy quality assurance. Physics in Medicine and Biology. 67(6):065004. 2022.

• Cheng Guo, Merve Bodur, Dionne M. Aleman, David R Urbach. Logic-based benders decomposition and binary decision diagram based approaches for stochastic distributed operating room scheduling. INFORMS Journal on Computing. 33(4):1259-1684. 2021.

• Faraz Khoshbakhtian, Ardian Lagman, Dionne M. Aleman, Randy Giffen, Proton Rahman. Prediction of severe COVID-19 outcomes at the time testing: An anomaly detection approach. medRxiv. 2021.

• Dionne M. Aleman, Benjamin Z. Tham, Sean J Wagner, Justin Semelhago, Asghar Mohammadi, Paul Price, Randy Giffen, Proton Rahman. How effective was Newfoundland & Labrador’s travel ban to prevent the spread of COVID-19? An agent-based analysis. medRxiv. 2021.