David R. Ledbetter

15 papers Misc 2Journal 13

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony. Biomed. Signal Process. Control. Ishmael Obeso, Benjamin Yoon, David R. Ledbetter, Melissa Aczon, Eugene Laksana, Alice X. Zhou, R. Andrew Eckberg, Keith Mertan, Robinder G. Khemani, Randall C. Wetzel
2023	J	`jnl`	Narrowing the gap: expected versus deployment performance. J. Am. Medical Informatics Assoc. Alice X. Zhou, Melissa D. Aczon, Eugene Laksana, David R. Ledbetter, Randall C. Wetzel
2021	J	`jnl`	Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. IEEE Access David R. Ledbetter, Eugene Laksana, Melissa Aczon, Randall C. Wetzel
2021	J	`jnl`	Interpreting a recurrent neural network's predictions of ICU mortality risk. J. Biomed. Informatics Long Van Ho, Melissa Aczon, David R. Ledbetter, Randall C. Wetzel
2021	J	`jnl`	Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis. CoRR George A. Pappy, Melissa D. Aczon, Randall C. Wetzel, David R. Ledbetter
2020	J	`jnl`	Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. CoRR David R. Ledbetter, Eugene Laksana, Melissa Aczon, Randall C. Wetzel
2020	J	`jnl`	The impact of extraneous features on the performance of recurrent neural network models in clinical tasks. J. Biomed. Informatics Eugene Laksana, Melissa Aczon, Long Van Ho, Cameron Carlin, David R. Ledbetter, Randall C. Wetzel
2019	J	`jnl`	Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks. CoRR Long Van Ho, Melissa D. Aczon, David R. Ledbetter, Randall C. Wetzel
2019	J	`jnl`	Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock. CoRR Nicole Fronda, Jessica Asencio, Cameron Carlin, David R. Ledbetter, Melissa Aczon, Randall C. Wetzel, Barry Markovitz
2019	J	`jnl`	The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks. CoRR Eugene Laksana, Melissa Aczon, Long Van Ho, Cameron Carlin, David R. Ledbetter, Randall C. Wetzel
2018	J	`jnl`	Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit. J. Am. Medical Informatics Assoc. Cameron Carlin, Long Van Ho, David R. Ledbetter, Melissa D. Aczon, Randall C. Wetzel
2017	J	`jnl`	Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks. CoRR Melissa Aczon, David R. Ledbetter, Long Van Ho, Alec M. Gunny, Alysia Flynn, Jon Williams, Randall C. Wetzel
2017	J	`jnl`	Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit. CoRR Cameron Carlin, Long Van Ho, David R. Ledbetter, Melissa Aczon, Randall C. Wetzel
2017	Misc	`conf`	The Dependence of Machine Learning on Electronic Medical Record Quality. AMIA Long Van Ho, David R. Ledbetter, Melissa D. Aczon, Randall C. Wetzel
2016	Misc	`conf`	DRTED: Deep learning Recommendation of Treatment from Electronic Data. AMIA Melissa Aczon, David R. Ledbetter, Long Van Ho, Alec M. Gunny, Randall C. Wetzel