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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
Mutational Processes Modeling and Early Cancer Diagnosis

Description:

Annual age-adjusted breast cancer incidence rates in the United States have been static for decades. More recently, the development of massively parallel, high throughput DNA sequencing has enabled the cataloging of somatic mutations in cancer. Mutations are non-random and occur within sequence motifs. These motifs provide us with evidence to...

Keyword:

Natural Language Processing, Electronic Health Records, Genomics, Mutational Processes, Breast Cancer, and Machine Learning

Subject:

Bioinformatics and Computer science

Creator:

Zeng, Zexian

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14500 and etdadmin_upload_635668

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

Mutational Processes Modeling and Early Cancer Diagnosis

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