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ORCIDNathan J. Brown
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Journal Articles
- 2025
[j4]Jinghui Liu, Bevan Koopman, Nathan J. Brown, Kevin Chu, Anthony N. Nguyen:
Generating synthetic clinical text with local large language models to identify misdiagnosed limb fractures in radiology reports. Artif. Intell. Medicine 159: 103027 (2025)- 2024
- [j3]James A. Hughes
, Yutong Wu, Lee Jones, Clint Douglas, Nathan J. Brown, Sarah Hazelwood, Anna-Lisa Lyrstedt, Rajeev Jarugula, Kevin Chu, Anthony N. Nguyen:
Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights. Int. J. Medical Informatics 190: 105544 (2024) - 2016
- [j2]Rafaela Vasiliadou, Mohammad Mehdi Nasr Esfahani, Nathan J. Brown, Kevin J. Welham:
A Disposable Microfluidic Device with a Screen Printed Electrode for Mimicking Phase II Metabolism. Sensors 16(9): 1418 (2016) - 2010
- [j1]Vanessa J. Kelly, Nathan J. Brown, Gregory G. King, Bruce R. Thompson:
A method to determine in vivo, specific airway compliance, in humans. Medical Biol. Eng. Comput. 48(5): 489-496 (2010)
Conference and Workshop Papers
- 2023
- [c3]Filip Rusak, Bevan Koopman, Nathan J. Brown, Kevin Chu, Jinghui Liu, Anthony N. Nguyen:
Catching Misdiagnosed Limb Fractures in the Emergency Department Using Cross-institution Transfer Learning. ALTA 2023: 78-87 - [c2]Yutong Wu, James A. Hughes, Anna-Lisa Lyrstedt, Sarah Hazelwood, Nathan J. Brown, Lee Jones, Clint Douglas, Rajeev Jarugula, Kevin Chu, Anthony N. Nguyen:
Developing Robust Clinical Text Deep Learning Models - A "Painless" Approach. MedInfo 2023: 705-709 - 2019
- [c1]Thanh Vu, Anthony N. Nguyen, Nathan J. Brown, James Hughes:
Identifying Patients with Pain in Emergency Departments using Conventional Machine Learning and Deep Learning. ALTA 2019: 111-119
Coauthor Index
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