Rodney A. Gabriel

According to our database, Rodney A. Gabriel authored at least 21 papers between 2014 and 2024.

Collaborative distances:

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

2024

Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.

Onkar Litake, Brian H. Park, Jeffrey L. Tully, Rodney A. Gabriel

J. Am. Medical Informatics Assoc., 2024

2023

Machine Learning Prediction Models to Reduce Length of Stay at Ambulatory Surgery Centers Through Case Resequencing.

Jeffrey L. Tully, William Zhong, Sierra Simpson, Brian P. Curran, Alvaro A. Macias, Ruth S. Waterman, Rodney A. Gabriel

J. Medical Syst., December, 2023

A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty.

Alvaro A. Macias, Dale N. Bongbong, Ruth S. Waterman, Sierra Simpson, Rodney A. Gabriel

J. Medical Syst., December, 2023

2021

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks.

Christina M. Williams, Rahul Umashankar Chaturvedi, Richard D. Urman, Ruth S. Waterman, Rodney A. Gabriel

J. Medical Syst., 2021

Calibrating predictive model estimates in a distributed network of patient data.

Yingxiang Huang, Xiaoqian Jiang, Rodney A. Gabriel, Lucila Ohno-Machado

J. Biomed. Informatics, 2021

A Machine Learning Approach to Predicting Time Needed for Outpatient Surgery and Patient Recovery at a Freestanding Ambulatory Surgery Center.

Rodney A. Gabriel, Bhavya Harjai

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Privacy-preserving model learning on a blockchain network-of-networks.

Tsung-Ting Kuo, Jihoon Kim, Rodney A. Gabriel

J. Am. Medical Informatics Assoc., 2020

EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.

Tsung-Ting Kuo, Rodney A. Gabriel, Krishna R. Cidambi, Lucila Ohno-Machado

J. Am. Medical Informatics Assoc., 2020

A tutorial on calibration measurements and calibration models for clinical prediction models.

Yingxiang Huang, Wentao Li, Fima Macheret, Rodney A. Gabriel, Lucila Ohno-Machado

J. Am. Medical Informatics Assoc., 2020

2019

A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Beiqun Zhao, Ruth S. Waterman, Richard D. Urman, Rodney A. Gabriel

J. Medical Syst., 2019

Fair compute loads enabled by blockchain: sharing models by alternating client and server roles.

Tsung-Ting Kuo, Rodney A. Gabriel, Lucila Ohno-Machado

J. Am. Medical Informatics Assoc., 2019

2018

Identifying and characterizing highly similar notes in big clinical note datasets.

Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu

J. Biomed. Informatics, 2018

2017

Preoperative Genetic Testing and Personalized Medicine: Changing the Care Paradigm.

Rodney A. Gabriel, Jesse M. Ehrenfeld, Richard D. Urman

J. Medical Syst., 2017

After-hour Versus Daytime Shifts in Non-Operating Room Anesthesia Environments: National Distribution of Case Volume, Patient Characteristics, and Procedures.

Rodney A. Gabriel, Brittany N. Burton, Mitchell H. Tsai, Jesse M. Ehrenfeld, Richard P. Dutton, Richard D. Urman

J. Medical Syst., 2017

Deduplication in a massive clinical note dataset.

Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu

CoRR, 2017

Predicting Surgery Duration with Neural Heteroscedastic Regression.

Nathan H. Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton

Proceedings of the Machine Learning for Health Care Conference, 2017

The presence of highly similar notes within the MIMIC-III dataset.

Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu

Proceedings of the AMIA 2017, 2017

2016

Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time.

York Chen, Rodney A. Gabriel, Bhavani Shankar Kodali, Richard D. Urman

J. Medical Syst., 2016

Developing a predictive model for discharge delay in the Post-Anesthesia Care Unit.

Rodney A. Gabriel, Jihoon Kim, Lucila Ohno-Machado

Proceedings of the AMIA 2016, 2016

2015

An Anesthesia Medication Cost Scorecard - Concepts for Individualized Feedback.

Raymond J. Malapero, Rodney A. Gabriel, Robert Gimlich, Jesse M. Ehrenfeld, Beverly K. Philip, David W. Bates, Richard D. Urman

J. Medical Syst., 2015

2014

Operating Room Metrics Score Card - Creating a Prototype for Individualized Feedback.

Rodney A. Gabriel, Robert Gimlich, Jesse M. Ehrenfeld, Richard D. Urman

J. Medical Syst., 2014