518 citations · 869 across the 11 of their papers we have counts for
4 papers · 1 filter
The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks
Eugene Laksana, Melissa Aczon, Long Ho +3
Electronic Medical Records (EMR) are a rich source of patient information, including measurements reflecting physiologic signs and administered therapies. Identifying which variabl…
Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit
Cameron Carlin, Long Van Ho, David Ledbetter +2
Objective: Predict patient-specific vitals deemed medically acceptable for discharge from a pediatric intensive care unit (ICU). Design: The means of each patient's hr, sbp and dbp…
The Dependence of Machine Learning on Electronic Medical Record Quality
Long Ho, David Ledbetter, Melissa Aczon +1
There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). Across different institutions, however, EMR quality can vary widely. This work i…
Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks
M Aczon, D Ledbetter, L Ho +4
Viewing the trajectory of a patient as a dynamical system, a recurrent neural network was developed to learn the course of patient encounters in the Pediatric Intensive Care Unit (…