no code implementations • 23 Aug 2019 • Tom Velez, Tony Wang, Ioannis Koutroulis, James Chamberlain, Amit Uppal, Seife Yohannes, Tim Tschampel, Emilia Apostolova
Machine learning experiments comparing the predictive performance of models derived without training data profiling against profile targeted models suggest statistically significant improved performance of prediction can be obtained.
1 code implementation • WS 2019 • Emilia Apostolova, Tony Wang, Tim Tschampel, Ioannis Koutroulis, Tom Velez
The goal of this work is to utilize Electronic Medical Record (EMR) data for real-time Clinical Decision Support (CDS).
no code implementations • 28 Mar 2019 • Tony Wang, Tim Tschampel, Emilia Apostolova, Tom Velez
In this study, we integrate knowledge of the heterogeneity of ARDS patients into predictive model building.
no code implementations • 26 Jun 2018 • Tony Wang, Tom Velez, Emilia Apostolova, Tim Tschampel, Thuy L. Ngo, Joy Hardison
Although timely sepsis diagnosis and prompt interventions in Intensive Care Unit (ICU) patients are associated with reduced mortality, early clinical recognition is frequently impeded by non-specific signs of infection and failure to detect signs of sepsis-induced organ dysfunction in a constellation of dynamically changing physiological data.