Brett K. Beaulieu-Jones

According to our database, Brett K. Beaulieu-Jones authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

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 Gursoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

2023

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models.

Emily Alsentzer, Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu-Jones, Kathryn J. Gray, David W. Bates, Vesela P. Kovacheva

npj Digit. Medicine, 2023

2021

Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?

Brett K. Beaulieu-Jones, William Yuan, Gabriel A. Brat, Andrew L. Beam, Griffin M. Weber, Marshall Ruffin, Isaac S. Kohane

npj Digit. Medicine, 2021

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.

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

J. Am. Medical Informatics Assoc., 2021

Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets.

Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.

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 Esteve, 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

npj Digit. Medicine, 2020

ML4H Abstract Track 2019.

Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca

CoRR, 2020

Session Introduction.

Shilpa Nadimpalli Kobren, Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Packaging Biocomputing Software to Maximize Distribution and Reuse.

William S. Bush, Nicholas Wheeler, Brett K. Beaulieu-Jones, Christian Darabos

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting.

Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019

Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes.

Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different?

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

Proceedings of the Machine Learning for Health Workshop, 2019

2018

Privacy-Preserving Distributed Deep Learning for Clinical Data.

Brett K. Beaulieu-Jones, William Yuan, Samuel G. Finlayson, Zhiwei Steven Wu

CoRR, 2018

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018.

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

CoRR, 2018

Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database.

Brett K. Beaulieu-Jones, Patryk Orzechowski, Jason H. Moore

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

Machine Learning for Structured Clinical Data.

Brett K. Beaulieu-Jones

CoRR, 2017

Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders.

Brett K. Beaulieu-Jones, Jason H. Moore, et al.

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

Semi-supervised learning of the electronic health record for phenotype stratification.

Brett K. Beaulieu-Jones, Casey S. Greene

J. Biomed. Informatics, 2016