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2020 – today
- 2025
[i2]Philip Chung, Akshay Swaminathan, Alex J. Goodell, Yeasul Kim, S. Momsen Reincke, Lichy Han, Ben Deverett, Mohammad Amin Sadeghi, Abdel-Badih Ariss, Marc Ghanem, David Seong, Andrew A. Lee, Caitlin E. Coombes, Brad Bradshaw, Mahir A. Sufian, Hyo Jung Hong, Teresa P. Nguyen, Mohammad R. Rasouli, Komal Kamra, Mark A. Burbridge, James McAvoy, Roya Saffary, Stephen P. Ma, Dev Dash, James Xie, Ellen Y. Wang, Clifford A. Schmiesing, Nigam Shah, Nima Aghaeepour:
VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records. CoRR abs/2501.16672 (2025)- 2021
- [j5]Zachary B. Abrams
, Caitlin E. Coombes, Suli Li, Kevin R. Coombes:
Mercator: a pipeline for multi-method, unsupervised visualization and distance generation. Bioinform. 37(17): 2780-2781 (2021) - [j4]Zachary B. Abrams, Dwayne G. Tally, Lin Zhang, Caitlin E. Coombes, Philip R. O. Payne, Lynne V. Abruzzo, Kevin R. Coombes:
Pattern recognition in lymphoid malignancies using CytoGPS and Mercator. BMC Bioinform. 22(1): 100 (2021) - [j3]Caitlin E. Coombes, Xin Liu, Zachary B. Abrams, Kevin R. Coombes, Guy N. Brock:
Simulation-derived best practices for clustering clinical data. J. Biomed. Informatics 118: 103788 (2021) - [j2]Caitlin E. Coombes, Kevin R. Coombes, Naleef Fareed:
A novel model to label delirium in an intensive care unit from clinician actions. BMC Medical Informatics Decis. Mak. 21(1): 97 (2021) - 2020
- [j1]Caitlin E. Coombes, Zachary B. Abrams, Suli Li, Lynne V. Abruzzo, Kevin R. Coombes:
Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia. J. Am. Medical Informatics Assoc. 27(7): 1019-1027 (2020) - [i1]Caitlin E. Coombes, Zachary B. Abrams, Samantha Nakayiza, Guy N. Brock, Kevin R. Coombes:
Umpire 2.0: Simulating realistic, mixed-type, clinical data for machine learning. F1000Research 9: 1186 (2020)
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