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)

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

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)

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)

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)