Date of Award
2018
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Alcohol misuse is a leading cause of premature death in the United States, with nearly a third of trauma patients found to have elevated blood alcohol levels upon admission. However, timely intervention has been shown to reduce this. It is thus important to be able to quickly screen patients to identify alcohol misuse. Many medical centers use standardized questionnaires to identify alcohol misuse, but since these instruments are not usually a part of routine care, there are many cases where it is not done.
In this study, large quantities of notes were processed with natural language processing and machine learning methods to identify important social and behavioral determinants for health. It resulted in the creation of a system that provides good discrimination of patients with and without alcohol misuse.
Recommended Citation
Phillips, Andrew, "A Study Into the Feasibility of Using Natural Language Processing and Machine Learning for the Identification of Alcohol Misuse in Trauma Patients" (2018). Master's Theses. 3754.
https://ecommons.luc.edu/luc_theses/3754
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Copyright Statement
Copyright © 2018 Andrew Phillips
