Brett K. Beaulieu-Jones

30 papers B 1Misc 6Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Variance-reduced Estimation from Generative EHR Models: The SCOPE and REACH Estimators. CoRR Luke Solo, Matthew B. A. McDermott, William F. Parker, Bashar Ramadan, Michael C. Burkhart, Brett K. Beaulieu-Jones
2026	J	`jnl`	Heterogenous effect of automated alerts on mortality. J. Am. Medical Informatics Assoc. Benjamin D. Wissel, Zana Percy, Tanner J. Zachem, Brett K. Beaulieu-Jones, Isaac S. Kohane, Stuart L. Goldstein, Emrah Gecili, Judith W. Dexheimer
2025	J	`jnl`	Computational challenges arising in algorithmic fairness and health equity with generative AI. Nat. Comput. Sci. Vinith M. Suriyakumar, Anna Zink, Maia Hightower, Marzyeh Ghassemi, Brett K. Beaulieu-Jones
2025	J	`jnl`	Enriched phenotypes in rare variant carriers suggest pathogenic mechanisms in rare disease patients. BioData Min. Lane Fitzsimmons, Undiagnosed Diseases Network, Brett K. Beaulieu-Jones, Shilpa Nadimpalli Kobren
2025	J	`jnl`	Foundation models for electronic health records: representation dynamics and transferability. CoRR Michael C. Burkhart, Bashar Ramadan, Zewei Liao, Kaveri Chhikara, Juan C. Rojas, William F. Parker, Brett K. Beaulieu-Jones
2025	—	`conf`	ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning. MLHC Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu-Jones
2025	J	`jnl`	ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning. CoRR Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu-Jones
2025	J	`jnl`	Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs. CoRR Sahil Sethi, David Chen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu-Jones
2025	J	`jnl`	Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models. CoRR Michael C. Burkhart, Bashar Ramadan, Luke Solo, William F. Parker, Brett K. Beaulieu-Jones
2025	J	`jnl`	Synthetic data distillation enables the extraction of clinical information at scale. npj Digit. Medicine Elizabeth Geena Woo, Michael C. Burkhart, Emily Alsentzer, Brett K. Beaulieu-Jones
2024	J	`jnl`	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
2023	J	`jnl`	Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. npj Digit. Medicine Emily Alsentzer, Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu-Jones, Kathryn J. Gray, David W. Bates, Vesela P. Kovacheva
2021	Misc	`conf`	Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. PSB Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren
2021	J	`jnl`	Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? npj Digit. Medicine Brett K. Beaulieu-Jones, William Yuan, Gabriel A. Brat, Andrew L. Beam, Griffin M. Weber, Marshall Ruffin, Isaac S. Kohane
2021	J	`jnl`	Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy
2020	J	`jnl`	International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schriver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Estève, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane
2020	J	`jnl`	ML4H Abstract Track 2019. CoRR Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca
2020	Misc	`conf`	Packaging Biocomputing Software to Maximize Distribution and Reuse. PSB William S. Bush, Nicholas Wheeler, Brett K. Beaulieu-Jones, Christian Darabos
2020	B	`conf`	Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting. COMPSAC Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones
2020	Misc	`conf`	Session Introduction. PSB Shilpa Nadimpalli Kobren, Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma
2019	Misc	`conf`	Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes. PSB Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam
2019	—	`conf`	Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Corey Chivers, Andrew Beam, Tristan Naumann, Brett K. Beaulieu-Jones
2019	—	`ed.`	Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019 ML4H@NeurIPS Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones
2018	J	`jnl`	Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes. CoRR Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam
2018	J	`jnl`	Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian V. Dalca, Samuel G. Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi
2018	Misc	`conf`	Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database. PSB Brett K. Beaulieu-Jones, Patryk Orzechowski, Jason H. Moore
2018	J	`jnl`	Privacy-Preserving Distributed Deep Learning for Clinical Data. CoRR Brett K. Beaulieu-Jones, William Yuan, Samuel G. Finlayson, Zhiwei Steven Wu
2017	J	`jnl`	Machine Learning for Structured Clinical Data. CoRR Brett K. Beaulieu-Jones
2017	Misc	`conf`	Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders. PSB Brett K. Beaulieu-Jones, Jason H. Moore, et al.
2016	J	`jnl`	Semi-supervised learning of the electronic health record for phenotype stratification. J. Biomed. Informatics Brett K. Beaulieu-Jones, Casey S. Greene