Rodney A. Gabriel

25 papers Misc 3Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Development and external validation of a multimodal artificial intelligence mortality prediction model of critically ill patients using multicenter data. CoRR Behrooz Mamandipoor, Chun-Nan Hsu, Martin Krause, Ulrich H. Schmidt, Rodney A. Gabriel
2025	J	`jnl`	Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume. J. Medical Syst. Arjun Singh, Patrick E. Farmer, Jeffrey L. Tully, Ruth S. Waterman, Rodney A. Gabriel
2025	J	`jnl`	Improving postoperative length of stay forecasting with retrieval-augmented prediction. J. Am. Medical Informatics Assoc. Brian H. Park, Chun-Nan Hsu, Austin Nguyen, Ying Q. Zhou, Rodney A. Gabriel
2024	J	`jnl`	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. Onkar Litake, Brian H. Park, Jeffrey L. Tully, Rodney A. Gabriel
2023	J	`jnl`	A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty. J. Medical Syst. Alvaro A. Macias, Dale N. Bongbong, Ruth S. Waterman, Sierra Simpson, Rodney A. Gabriel
2023	J	`jnl`	Machine Learning Prediction Models to Reduce Length of Stay at Ambulatory Surgery Centers Through Case Resequencing. J. Medical Syst. Jeffrey L. Tully, William Zhong, Sierra Simpson, Brian P. Curran, Alvaro A. Macias, Ruth S. Waterman, Rodney A. Gabriel
2021	Misc	`conf`	A Machine Learning Approach to Predicting Time Needed for Outpatient Surgery and Patient Recovery at a Freestanding Ambulatory Surgery Center. AMIA Rodney A. Gabriel, Bhavya Harjai
2021	J	`jnl`	Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks. J. Medical Syst. Christina M. Williams, Rahul Umashankar Chaturvedi, Richard D. Urman, Ruth S. Waterman, Rodney A. Gabriel
2021	J	`jnl`	Calibrating predictive model estimates in a distributed network of patient data. J. Biomed. Informatics Yingxiang Huang, Xiaoqian Jiang, Rodney A. Gabriel, Lucila Ohno-Machado
2020	J	`jnl`	A tutorial on calibration measurements and calibration models for clinical prediction models. J. Am. Medical Informatics Assoc. Yingxiang Huang, Wentao Li, Fima Macheret, Rodney A. Gabriel, Lucila Ohno-Machado
2020	J	`jnl`	EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Rodney A. Gabriel, Krishna R. Cidambi, Lucila Ohno-Machado
2020	J	`jnl`	Privacy-preserving model learning on a blockchain network-of-networks. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Jihoon Kim, Rodney A. Gabriel
2019	J	`jnl`	A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery. J. Medical Syst. Beiqun Zhao, Ruth S. Waterman, Richard D. Urman, Rodney A. Gabriel
2019	J	`jnl`	Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Rodney A. Gabriel, Lucila Ohno-Machado
2018	J	`jnl`	Identifying and characterizing highly similar notes in big clinical note datasets. J. Biomed. Informatics Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2017	J	`jnl`	After-hour Versus Daytime Shifts in Non-Operating Room Anesthesia Environments: National Distribution of Case Volume, Patient Characteristics, and Procedures. J. Medical Syst. Rodney A. Gabriel, Brittany N. Burton, Mitchell H. Tsai, Jesse M. Ehrenfeld, Richard P. Dutton, Richard D. Urman
2017	J	`jnl`	Deduplication in a massive clinical note dataset. CoRR Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu
2017	—	`conf`	Predicting Surgery Duration with Neural Heteroscedastic Regression. MLHC Nathan H. Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
2017	J	`jnl`	Predicting Surgery Duration with Neural Heteroscedastic Regression. CoRR Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
2017	J	`jnl`	Preoperative Genetic Testing and Personalized Medicine: Changing the Care Paradigm. J. Medical Syst. Rodney A. Gabriel, Jesse M. Ehrenfeld, Richard D. Urman
2017	Misc	`conf`	The presence of highly similar notes within the MIMIC-III dataset. AMIA Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2016	Misc	`conf`	Developing a predictive model for discharge delay in the Post-Anesthesia Care Unit. AMIA Rodney A. Gabriel, Jihoon Kim, Lucila Ohno-Machado
2016	J	`jnl`	Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time. J. Medical Syst. York Chen, Rodney A. Gabriel, Bhavani Shankar Kodali, Richard D. Urman
2015	J	`jnl`	An Anesthesia Medication Cost Scorecard - Concepts for Individualized Feedback. J. Medical Syst. Raymond J. Malapero, Rodney A. Gabriel, Robert Gimlich, Jesse M. Ehrenfeld, Beverly K. Philip, David W. Bates, Richard D. Urman
2014	J	`jnl`	Operating Room Metrics Score Card - Creating a Prototype for Individualized Feedback. J. Medical Syst. Rodney A. Gabriel, Robert Gimlich, Jesse M. Ehrenfeld, Richard D. Urman