no code implementations • 28 Jul 2020 • David Ledbetter, Eugene Laksana, Melissa Aczon, Randall Wetzel
This work presents input data perseveration as a method of training and deploying an RNN model to make its predictions more responsive to newly acquired information: input data is replicated during training and deployment.
no code implementations • 1 Apr 2019 • Eugene Laksana, Melissa Aczon, Long Ho, Cameron Carlin, David Ledbetter, Randall Wetzel
Electronic Medical Records (EMR) are a rich source of patient information, including measurements reflecting physiologic signs and administered therapies.
no code implementations • 15 Jan 2019 • Nicole Fronda, Jessica Asencio, Cameron Carlin, David Ledbetter, Melissa Aczon, Randall Wetzel, Barry Markovitz
Conclusion: This initial attempt in pediatric critical care to predict individual physiologic responses to vasoactive dose changes in children with septic shock demonstrated an RNN model showed some improvement over a linear model.
no code implementations • 18 Dec 2017 • Cameron Carlin, Long Van Ho, David Ledbetter, Melissa Aczon, Randall Wetzel
Design: The means of each patient's hr, sbp and dbp measurements between their medical and physical discharge from the ICU were computed as a proxy for their physiologically acceptable state space (PASS) for successful ICU discharge.
no code implementations • 23 Mar 2017 • Long Ho, David Ledbetter, Melissa Aczon, Randall Wetzel
There is growing interest in applying machine learning methods to Electronic Medical Records (EMR).