Dan Lizotte

代表成果

• Jason E. Black, Jacqueline K. Kueper, Amanda L. Terry, and Daniel J. Lizotte. Development of a prognostic prediction model to estimate the risk of multiple chronic diseases: Constructing a copula-based model using Canadian primary care electronic medical record data. International Journal of Population Data Science, 6(1):1–18, January 2021.
• Greta Bauer and Daniel J. Lizotte. Artificial intelligence, intersectionality, and the future of public health. American Journal of Public Health, 111(1), January 2021. Opinion Editorial (Peer reviewed).
• Pananos, A. Demetri and Daniel J. Lizotte. Comparisons between Hamiltonian Monte Carlo and maximum a posteriori for a Bayesian model for apixaban induction dose & dose personalization. In Finale Doshi-Velez, Jim Fackler, Ken Jung, David Kale, Rajesh Ranganath, Byron Wallace, and Jenna Wiens, editors, Proceedings of the 5th Machine Learning for Healthcare Conference, volume 126 of Proceedings of Machine Learning Research, pages 397–417, Virtual, 07–08 Aug 2020. PMLR.
• Jason E. Black, Amanda L. Terry, and Daniel J. Lizotte. Development and evaluation of an osteoarthritis risk model for integration into primary care health information technology. International Journal of Medical Informatics, 141:104160, 2020.
• Jacqueline Kueper, Amanda Terry, Merrick Zwarenstein, and Daniel J. Lizotte. Artificial Intelligence and primary care research: A scoping review. The Annals of Family Medicine, 18:250–258, May 2020.
• Daniel J. Lizotte, Mayuri Mahendran, Siobhan M. Churchill, and Greta R. Bauer. Math versus meaning in MAIHDA: A commentary on multilevel statistical models for quantitative intersectionality. Social Science & Medicine, 245:112500, 2020.
• Davis, Brent D., Kamran Sedig, and Daniel J. Lizotte. Archetype-based modeling and search of social media. Big Data and Cognitive Computing, 3(3), 2019.
• Maria Jahja and Daniel J. Lizotte. Visualizing clinical significance with prediction and tolerance regions. In Finale Doshi-Velez, Jim Fackler, David Kale, Rajesh Ranganath, Byron Wallace, and Jenna Wiens, editors, Proceedings of the 2nd Machine Learning for Healthcare Conference, volume 68 of Proceedings of Machine Learning Research, pages 217–230, Boston, Massachusetts, 18–19 Aug 2017. PMLR.
• Daniel J. Lizotte and Arezoo Tahmasebi. Prediction and tolerance intervals for Dynamic Treatment Regimes. Statistical Methods in Medical Research, 26(4):1611–1629, 2017.
• Daniel J. Lizotte and Eric B. Laber. Multi-objective Markov decision processes for data-driven decision support. Journal of Machine Learning Research, 17(211):1–28, 2016.