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Journal Articles
- 2023
[j6]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:
A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony. Biomed. Signal Process. Control. 86(Part C): 105251 (2023)- [j5]Alice X. Zhou, Melissa D. Aczon, Eugene Laksana, David R. Ledbetter, Randall C. Wetzel:
Narrowing the gap: expected versus deployment performance. J. Am. Medical Informatics Assoc. 30(9): 1474-1485 (2023) - 2021
- [j4]David R. Ledbetter, Eugene Laksana, Melissa Aczon, Randall C. Wetzel:
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. IEEE Access 9: 106140-106151 (2021) - [j3]Long Van Ho, Melissa Aczon, David R. Ledbetter, Randall C. Wetzel:
Interpreting a recurrent neural network's predictions of ICU mortality risk. J. Biomed. Informatics 114: 103672 (2021) - 2020
- [j2]Eugene Laksana, Melissa Aczon, Long Van Ho, Cameron Carlin, David R. Ledbetter, Randall C. Wetzel:
The impact of extraneous features on the performance of recurrent neural network models in clinical tasks. J. Biomed. Informatics 102: 103351 (2020) - 2018
- [j1]Cameron Carlin, Long Van Ho, David R. 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): 1600-1607 (2018)
Conference and Workshop Papers
- 2017
- [c2]Long Van Ho, David R. Ledbetter, Melissa D. Aczon, Randall C. Wetzel:
The Dependence of Machine Learning on Electronic Medical Record Quality. AMIA 2017 - 2016
- [c1]Melissa Aczon, David R. Ledbetter, Long Van Ho, Alec M. Gunny, Randall C. Wetzel:
DRTED: Deep learning Recommendation of Treatment from Electronic Data. AMIA 2016
Informal and Other Publications
- 2021
- [i7]George A. Pappy, Melissa D. Aczon, Randall C. Wetzel, David R. 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 abs/2111.11846 (2021) - 2020
- [i6]David R. Ledbetter, Eugene Laksana, Melissa Aczon, Randall C. Wetzel:
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. CoRR abs/2007.14520 (2020) - 2019
- [i5]Nicole Fronda, Jessica Asencio, Cameron Carlin, David R. Ledbetter, Melissa Aczon, Randall C. Wetzel, Barry Markovitz:
Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock. CoRR abs/1901.10400 (2019) - [i4]Eugene Laksana, Melissa Aczon, Long Van Ho, Cameron Carlin, David R. Ledbetter, Randall C. Wetzel:
The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks. CoRR abs/1904.01125 (2019) - [i3]Long Van Ho, Melissa D. Aczon, David R. Ledbetter, Randall C. Wetzel:
Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks. CoRR abs/1905.09865 (2019) - 2017
- [i2]Melissa Aczon, David R. Ledbetter, Long Van Ho, Alec M. Gunny, Alysia Flynn, Jon Williams, Randall C. Wetzel:
Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks. CoRR abs/1701.06675 (2017) - [i1]Cameron Carlin, Long Van Ho, David R. Ledbetter, Melissa Aczon, Randall C. Wetzel:
Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit. CoRR abs/1712.06214 (2017)
Coauthor Index
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