Northwestern University

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Modeling Bacterial Infection Risk for Data-Driven Antibiotic De-Escalation in Critically Ill Adults

Description:

Bacterial infections (BI) are a frequent, expensive, and life-threatening condition for critically ill patients. For patients with serious BI, minimizing the time between admission to the intensive care unit (ICU) and administration of appropriate antibiotic therapy is crucial to improve prognosis. However, the current gold-standard for identifying the appropriate antimicrobials...

Keyword:

MIMIC, Antibiotic Stewardship, Clinical Prediction, Critical Care, Machine Learning, and Electronic Health Records

Subject:

Icelandic & Scandinavian literature and Bioinformatics

Creator:

Eickelberg, Garrett

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

08/23/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_999752 and http://dissertations.umi.com/northwestern:16645