activity
20192023
most citedAccuracy of the Epic Sepsis Prediction Model in a Regional Health System

5 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023★ 1 cited

An Open-Source Knowledge Graph Ecosystem for the Life Sciences

Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski +29

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these…

cs.DB2022★ 1 cited

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality

Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa +29

Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for dee…

q-bio.QM2022★ 3 cited

Integration of Clinical, Biological, and Computational Perspectives to Support Cerebral Autoregulatory Informed Clinical Decision Making Decomposing Cerebral Autoregulation using Mechanistic Timescales to Support Clinical Decision-Making

J. K. Briggs, J. N. Stroh, T. D. Bennett +2

Adequate brain perfusion is required for proper brain function and life. Maintaining optimal brain perfusion to avoid secondary brain injury is one of the main concerns of neurocri…

stat.CO2019★ 3 cited

ensr: R Package for Simultaneous Selection of Elastic Net Tuning Parameters

Peter E. DeWitt, Tellen D. Bennett

Motivation: Elastic net regression is a form of penalized regression that lies between ridge and least absolute shrinkage and selection operator (LASSO) regression. The elastic net…

stat.AP2019★ 5 cited

Accuracy of the Epic Sepsis Prediction Model in a Regional Health System

Tellen Bennett, Seth Russell, James King +6

Interest in an electronic health record-based computational model that can accurately predict a patient's risk of sepsis at a given point in time has grown rapidly in the last seve…