Rodney A. Gabriel

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Prediction Model

Minimally Invasive

Top Venues

J. Medical Syst.

J. Am. Medical Informatics Assoc.

Publications

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) (2024)
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) (2023)
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) (2023)
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)
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 (2021)
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) (2021)
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) (2020)
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) (2020)
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) (2020)
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) (2019)
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) (2019)
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 (2018)
Nathan H. Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
Predicting Surgery Duration with Neural Heteroscedastic Regression. MLHC (2017)
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)
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) (2017)
Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
Predicting Surgery Duration with Neural Heteroscedastic Regression. CoRR (2017)
Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu
Deduplication in a massive clinical note dataset. CoRR (2017)
Rodney A. Gabriel, Jesse M. Ehrenfeld, Richard D. Urman
Preoperative Genetic Testing and Personalized Medicine: Changing the Care Paradigm. J. Medical Syst. 41 (12) (2017)
Rodney A. Gabriel, Jihoon Kim, Lucila Ohno-Machado
Developing a predictive model for discharge delay in the Post-Anesthesia Care Unit. AMIA (2016)
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) (2016)
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) (2015)
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) (2014)