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Translational Medical Research Commons

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Conference Proceedings: Aurora Scientific Day 2020 Oct 2020

Conference Proceedings: Aurora Scientific Day 2020

Journal of Patient-Centered Research and Reviews

Abstracts published in this supplement were among those presented at the 46th annual Aurora Scientific Day research symposium, held virtually on May 20, 2020. The symposium provides a forum for describing research studies conducted by faculty, fellows, residents, and allied health professionals affiliated with Wisconsin-based Aurora Health Care, a part of the Advocate Aurora Health health system, which publishes the Journal of Patient-Centered Research and Reviews.


Clinical Research In Pneumonia: Role Of Artificial Intelligence, Timothy L. Wiemken, Robert R. Kelley, William A. Mattingly, Julio A. Ramirez Feb 2019

Clinical Research In Pneumonia: Role Of Artificial Intelligence, Timothy L. Wiemken, Robert R. Kelley, William A. Mattingly, Julio A. Ramirez

The University of Louisville Journal of Respiratory Infections

No abstract provided.


Predicting 30-Day Mortality In Hospitalized Patients With Community-Acquired Pneumonia Using Statistical And Machine Learning Approaches, Timothy L. Wiemken, Stephen P. Furmanek, William A. Mattingly, Brian E. Guinn, Rodrigo Cavallazzi, Rafael Fernandez-Botran, Leslie A Wolf, Connor L. English, Julio A. Ramirez May 2017

Predicting 30-Day Mortality In Hospitalized Patients With Community-Acquired Pneumonia Using Statistical And Machine Learning Approaches, Timothy L. Wiemken, Stephen P. Furmanek, William A. Mattingly, Brian E. Guinn, Rodrigo Cavallazzi, Rafael Fernandez-Botran, Leslie A Wolf, Connor L. English, Julio A. Ramirez

The University of Louisville Journal of Respiratory Infections

Background: Predicting if a hospitalized patient with community-acquired pneumonia (CAP) will or will not survive after admission to the hospital is important for research purposes as well as for institution of early patient management interventions. Although population-level mortality prediction scores for these patients have been around for many years, novel patient-level algorithms are needed. The objective of this study was to assess several statistical and machine learning models for their ability to predict 30-day mortality in hospitalized patients with CAP.

Methods: This was a secondary analysis of the University of Louisville (UofL) Pneumonia Study database. Six different statistical and/or machine …