An informatics architecture for the Virtual Pediatric Intensive Care Unit. - 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 (CBMS, 2011)

Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. - Benjamin M. Marlin; David C. Kale; Robinder G. Khemani; Randall C. Wetzel (IHI, 2012)

An Examination of Multivariate Time Series Hashing with Applications to Health Care. - David C. Kale; Dian Gong; Zhengping Che; Yan Liu 002; Gérard G. Medioni; Randall C. Wetzel; Patrick Ross (ICDM, 2014)

Causal Phenotype Discovery via Deep Networks. - David C. Kale; Zhengping Che; Mohammad Taha Bahadori; Wenzhe Li; Yan Liu 002; Randall C. Wetzel (AMIA, 2015)

Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks. - Zachary Chase Lipton; David C. Kale; Randall C. Wetzel (CoRR, 2015)

DRTED: Deep learning Recommendation of Treatment from Electronic Data. - Melissa Aczon; David R. Ledbetter; Long Van Ho; Alec M. Gunny; Randall C. Wetzel (AMIA, 2016)

Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series. - Zachary C. Lipton; David C. Kale; Randall C. Wetzel (MLHC, 2016)

Learning to Diagnose with LSTM Recurrent Neural Networks. - Zachary Chase Lipton; David C. Kale; Charles Elkan; Randall C. Wetzel (ICLR (Poster), 2016)

The Dependence of Machine Learning on Electronic Medical Record Quality. - Long Van Ho; David R. Ledbetter; Melissa D. Aczon; Randall C. Wetzel (AMIA, 2017)

Marked Point Process for Severity of Illness Assessment. - Kazi T. Islam; Christian R. Shelton; Juan I. Casse; Randall C. Wetzel (MLHC, 2017)

Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks. - Melissa Aczon; David R. Ledbetter; Long Van Ho; Alec M. Gunny; Alysia Flynn; Jon Williams; Randall C. Wetzel (CoRR, 2017)

Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit. - Cameron Carlin; Long Van Ho; David R. Ledbetter; Melissa Aczon; Randall C. Wetzel (CoRR, 2017)

Heat Map, a Visual Tool for Comparative Analytics. - Jamie C. Palumbo; Randall C. Wetzel; Gerardo Soto-Campos (AMIA, 2018)

Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit. - Cameron Carlin; Long Van Ho; David R. Ledbetter; Melissa D. Aczon; Randall C. Wetzel (J. Am. Medical Informatics Assoc., 2018)

Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock. - Nicole Fronda; Jessica Asencio; Cameron Carlin; David R. Ledbetter; Melissa Aczon; Randall C. Wetzel; Barry Markovitz (CoRR, 2019)

The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks. - Eugene Laksana; Melissa Aczon; Long Van Ho; Cameron Carlin; David R. Ledbetter; Randall C. Wetzel (CoRR, 2019)

Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks. - Long Van Ho; Melissa D. Aczon; David R. Ledbetter; Randall C. Wetzel (CoRR, 2019)

The impact of extraneous features on the performance of recurrent neural network models in clinical tasks. - Eugene Laksana; Melissa Aczon; Long Van Ho; Cameron Carlin; David R. Ledbetter; Randall C. Wetzel (J. Biomed. Informatics, 2020)

Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. - David R. Ledbetter; Eugene Laksana; Melissa Aczon; Randall C. Wetzel (IEEE Access, 2021)

Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis. - George A. Pappy; Melissa D. Aczon; Randall C. Wetzel; David R. Ledbetter (CoRR, 2021)

Interpreting a recurrent neural network's predictions of ICU mortality risk. - Long Van Ho; Melissa Aczon; David R. Ledbetter; Randall C. Wetzel (J. Biomed. Informatics, 2021)

Narrowing the gap: expected versus deployment performance. - Alice X. Zhou; Melissa D. Aczon; Eugene Laksana; David R. Ledbetter; Randall C. Wetzel (J. Am. Medical Informatics Assoc., 2023)

A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony. - 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 (Biomed. Signal Process. Control., 2023)