Randall C. Wetzel

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 22

Top Topics

Chronic Hepatitis

Marked Point Process

Intensive Care Unit

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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) (2023)
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) (2023)
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)
Jamie C. Palumbo, Randall C. Wetzel, Gerardo Soto-Campos
Heat Map, a Visual Tool for Comparative Analytics. AMIA (2018)
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)
Kazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall C. Wetzel
Marked Point Process for Severity of Illness Assessment. MLHC (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)
Zachary Chase Lipton, David C. Kale, Randall C. Wetzel
Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series. CoRR (2016)
Zachary C. Lipton, David C. Kale, Randall C. Wetzel
Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series. MLHC (2016)
Melissa Aczon, David Ledbetter, Long Van Ho, Alec M. Gunny, Randall C. Wetzel
DRTED: Deep learning Recommendation of Treatment from Electronic Data. AMIA (2016)
Zachary Chase Lipton, David C. Kale, Charles Elkan, Randall C. Wetzel
Learning to Diagnose with LSTM Recurrent Neural Networks. ICLR (Poster) (2016)
Zachary Chase Lipton, David C. Kale, Randall C. Wetzel
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks. CoRR (2015)
David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel
Causal Phenotype Discovery via Deep Networks. AMIA (2015)
David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Gérard G. Medioni, Randall C. Wetzel, Patrick Ross
An Examination of Multivariate Time Series Hashing with Applications to Health Care. ICDM (2014)
Benjamin M. Marlin, David C. Kale, Robinder G. Khemani, Randall C. Wetzel
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. IHI (2012)
Daniel J. Crichton, Chris A. Mattmann, Andrew F. Hart, David C. Kale, Robinder G. Khemani, Patrick Ross, Sarah Rubin, Paul Veeravatanayothin, Amy Braverman, Cameron Goodale, Randall C. Wetzel
An informatics architecture for the Virtual Pediatric Intensive Care Unit. CBMS (2011)