David Ledbetter

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 13

Top Topics

Transfer Learning

Reservoir Computing

Intensive Care Unit

Top Venues

J. Biomed. Informatics

J. Am. Medical Informatics Assoc.

Publications

George A. Pappy, Melissa D. Aczon, Randall C. Wetzel, David Ledbetter
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 (2021)
Long Van Ho, Melissa Aczon, David Ledbetter, Randall C. Wetzel
Interpreting a recurrent neural network's predictions of ICU mortality risk. J. Biomed. Informatics 114 (2021)
David Ledbetter, Eugene Laksana, Melissa Aczon, Randall C. Wetzel
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. IEEE Access 9 (2021)
David Ledbetter, Eugene Laksana, Melissa Aczon, Randall C. Wetzel
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. CoRR (2020)
Eugene Laksana, Melissa Aczon, Long Van Ho, Cameron Carlin, David Ledbetter, Randall C. Wetzel
The impact of extraneous features on the performance of recurrent neural network models in clinical tasks. J. Biomed. Informatics 102 (2020)
Nicole Fronda, Jessica Asencio, Cameron Carlin, David Ledbetter, Melissa Aczon, Randall C. Wetzel, Barry Markovitz
Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock. CoRR (2019)
Eugene Laksana, Melissa Aczon, Long Van Ho, Cameron Carlin, David Ledbetter, Randall C. Wetzel
The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks. CoRR (2019)
Long Van Ho, Melissa D. Aczon, David Ledbetter, Randall C. Wetzel
Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks. CoRR (2019)
Cameron Carlin, Long Van Ho, David Ledbetter, Melissa D. Aczon, Randall C. Wetzel
Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit. J. Am. Medical Informatics Assoc. 25 (12) (2018)
Long Van Ho, David Ledbetter, Melissa D. Aczon, Randall C. Wetzel
The Dependence of Machine Learning on Electronic Medical Record Quality. AMIA (2017)
Melissa Aczon, David Ledbetter, Long Van Ho, Alec M. Gunny, A. Flynn, J. Williams, Randall C. Wetzel
Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks. CoRR (2017)
Cameron Carlin, Long Van Ho, David Ledbetter, Melissa Aczon, Randall C. Wetzel
Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit. CoRR (2017)
Melissa Aczon, David Ledbetter, Long Van Ho, Alec M. Gunny, Randall C. Wetzel
DRTED: Deep learning Recommendation of Treatment from Electronic Data. AMIA (2016)