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ORCIDRodney A. Gabriel
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2020 – today
- 2024
[j16]Onkar Litake, Brian H. Park
, Jeffrey L. Tully, Rodney A. Gabriel:
Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes. J. Am. Medical Informatics Assoc. 31(6): 1404-1410 (2024)- 2023
- [j15]Jeffrey L. Tully, William Zhong, Sierra Simpson, Brian P. Curran, Alvaro A. Macias, Ruth S. Waterman, Rodney A. Gabriel:
Machine Learning Prediction Models to Reduce Length of Stay at Ambulatory Surgery Centers Through Case Resequencing. J. Medical Syst. 47(1): 71 (2023) - [j14]Alvaro A. Macias, Dale N. Bongbong, Ruth S. Waterman, Sierra Simpson, Rodney A. Gabriel:
A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty. J. Medical Syst. 47(1): 119 (2023) - 2021
- [j13]Yingxiang Huang, Xiaoqian Jiang, Rodney A. Gabriel, Lucila Ohno-Machado:
Calibrating predictive model estimates in a distributed network of patient data. J. Biomed. Informatics 117: 103758 (2021) - [j12]Christina M. Williams, Rahul Umashankar Chaturvedi, Richard D. Urman, Ruth S. Waterman, Rodney A. Gabriel:
Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks. J. Medical Syst. 45(3): 26 (2021) - [c4]Rodney A. Gabriel, Bhavya Harjai:
A Machine Learning Approach to Predicting Time Needed for Outpatient Surgery and Patient Recovery at a Freestanding Ambulatory Surgery Center. AMIA 2021 - 2020
- [j11]Tsung-Ting Kuo, Jihoon Kim, Rodney A. Gabriel:
Privacy-preserving model learning on a blockchain network-of-networks. J. Am. Medical Informatics Assoc. 27(3): 343-354 (2020) - [j10]Yingxiang Huang, Wentao Li, Fima Macheret, Rodney A. Gabriel, Lucila Ohno-Machado:
A tutorial on calibration measurements and calibration models for clinical prediction models. J. Am. Medical Informatics Assoc. 27(4): 621-633 (2020) - [j9]Tsung-Ting Kuo, Rodney A. Gabriel, Krishna R. Cidambi, Lucila Ohno-Machado:
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. J. Am. Medical Informatics Assoc. 27(5): 747-756 (2020)
2010 – 2019
- 2019
- [j8]Tsung-Ting Kuo, Rodney A. Gabriel, Lucila Ohno-Machado:
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. J. Am. Medical Informatics Assoc. 26(5): 392-403 (2019) - [j7]Beiqun Zhao, Ruth S. Waterman, Richard D. Urman, Rodney A. Gabriel:
A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery. J. Medical Syst. 43(2): 32:1-32:8 (2019) - 2018
- [j6]Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu:
Identifying and characterizing highly similar notes in big clinical note datasets. J. Biomed. Informatics 82: 63-69 (2018) - 2017
- [j5]Rodney A. Gabriel, Brittany N. Burton, Mitchell H. Tsai, Jesse M. Ehrenfeld, Richard P. Dutton, Richard D. Urman:
After-hour Versus Daytime Shifts in Non-Operating Room Anesthesia Environments: National Distribution of Case Volume, Patient Characteristics, and Procedures. J. Medical Syst. 41(9): 140 (2017) - [j4]Rodney A. Gabriel, Jesse M. Ehrenfeld, Richard D. Urman:
Preoperative Genetic Testing and Personalized Medicine: Changing the Care Paradigm. J. Medical Syst. 41(12): 185:1-185:2 (2017) - [c3]Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu:
The presence of highly similar notes within the MIMIC-III dataset. AMIA 2017 - [c2]Nathan H. Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton:
Predicting Surgery Duration with Neural Heteroscedastic Regression. MLHC 2017: 100-111 - [i2]Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton:
Predicting Surgery Duration with Neural Heteroscedastic Regression. CoRR abs/1702.05386 (2017) - [i1]Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu:
Deduplication in a massive clinical note dataset. CoRR abs/1704.05617 (2017) - 2016
- [j3]York Chen, Rodney A. Gabriel, Bhavani Shankar Kodali, Richard D. Urman:
Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time. J. Medical Syst. 40(5): 115:1-115:6 (2016) - [c1]Rodney A. Gabriel, Jihoon Kim, Lucila Ohno-Machado:
Developing a predictive model for discharge delay in the Post-Anesthesia Care Unit. AMIA 2016 - 2015
- [j2]Raymond J. Malapero, Rodney A. Gabriel, Robert Gimlich, Jesse M. Ehrenfeld, Beverly K. Philip, David W. Bates, Richard D. Urman:
An Anesthesia Medication Cost Scorecard - Concepts for Individualized Feedback. J. Medical Syst. 39(5): 48 (2015) - 2014
- [j1]Rodney A. Gabriel, Robert Gimlich, Jesse M. Ehrenfeld, Richard D. Urman:
Operating Room Metrics Score Card - Creating a Prototype for Individualized Feedback. J. Medical Syst. 38(11): 144 (2014)
Coauthor Index
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