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Jennifer C. Ginestra
Jennifer C. Ginestra
Hospital of the University of Pennsylvania
Medicine
Intensive care medicine
Artificial intelligence
Sepsis
Septic shock
5
Papers
102
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COVID-19 Critical Illness: A Data-Driven Review.
2022
Annual Review of Medicine
Jennifer C. Ginestra
Oscar J. L. Mitchell
George L. Anesi
Jason D. Christie
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Impact of COVID-19 on inpatient clinical emergencies: A single-center experience.
2021
Oscar J.L. Mitchell
Stacie Neefe
Jennifer C. Ginestra
Cameron M. Baston
Michael J. Frazer
Steven W Gudowski
Jeff Min
Nahreen H. Ahmed
Jose L. Pascual
William D. Schweickert
Brian J. Anderson
George L. Anesi
Scott A. Falk
Michael G. S. Shashaty
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A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward Patients.
2021
Critical Care Medicine
Parth K. Shah
Jennifer C. Ginestra
Lyle H. Ungar
Paul Junker
Jeff I. Rohrbach
Neil O. Fishman
Gary E. Weissman
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Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock
2019
Critical Care Medicine
Jennifer C. Ginestra
Heather M. Giannini
William D. Schweickert
Laurie Meadows
Michael J. Lynch
Kimberly Pavan
Corey Chivers
Michael Draugelis
Patrick J. Donnelly
Barry D. Fuchs
Craig A. Umscheid
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Citations (37)
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice
2019
Critical Care Medicine
Heather M. Giannini
Jennifer C. Ginestra
Corey Chivers
Michael Draugelis
Asaf Hanish
William D. Schweickert
Barry D. Fuchs
Laurie Meadows
Michael J. Lynch
Patrick J. Donnelly
Kimberly Pavan
Neil O. Fishman
C. William Hanson
Craig A. Umscheid
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Citations (64)
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