Index Catalog // Arch : Northwestern University Institutional Repository

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

Description:: Understanding the complex genome-phenome associations behind human complex traits will be a primary focus for the practice of precision medicine in the future. Identifying the genetic variants that contribute to the inter- and intra- phenotypic variations of individuals, elucidating pleiotropic architecture of common complex traits, and demonstrating how personal biomedical...
Keyword:: Electronic Health Records, Genome-wide association studies, Bioinformatics, Biomedical Informatics, Precision medicine, and Phenome-wide association studies
Subject:: Bioinformatics, Genetics, and Medicine
Creator:: Joo, Yoonjung Yoonie
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 04/28/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_719309 and http://dissertations.umi.com/northwestern:15009

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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