Search results | J. Murrey Atkins Library

Title: Assistive technologies for individuals with alzheimer and investigating main challenges of adopting the technologies
Author: qu, yun
Date Created: 2020
Subjects--Topical: Information technology
Description: The number of individuals with Alzheimer's Disease (AD) is rising dramatically in the United States. Assistive technologies serve to assist with the care recipients' independence. However, while many technological systems for individuals with AD h...

Title: Building Computational Representations of Medical Guidelines Using Large Language Models and Transfer Learning
Author: Gopalakrishnan, Seethalakshmi
Date Created: 2023
Subjects--Topical: Computer science
Description: This dissertation explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Clinical Practice Guidelines. The outcomes of causality extraction from Clinica...

Title: Emergency Medical Services Demand Forecasting: Modern Machine Learning Approaches For Producing Short-Term Spatiotemporal Estimations
Author: Martin, Richard
Date Created: 2019
Subjects--Topical: Operations research, Information technology
Description: Emergency medical services (EMS); commonly referred to as ambulance, paramedic or pre-hospital emergency services, are a critical component in the delivery of urgent medical care to communities. EMS agencies, the organizations responsible for prov...

Title: Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
Author: Frye, Robert
Date Created: 2022
Subjects--Topical: Computer science
Description: Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or negative) or trinary (e.g. positive, neutral, or negative) state. Granular emotio...

Title: Healthy vs Unhealthy: Food Related Tweets and Image Classification
Author: Oduru, Tejaswini
Date Created: 2020
Subjects--Topical: Information technology
Description: Many studies have proved that the rise in obesity among the world population is due to an increase in calorie intake coupled with a lack of adequate physical activity. Food is an essential part of everyday life and has significant effects on our h...

Title: IDENTIFYING SERENDIPITOUS DRUG USAGES FROM PATIENT-REPORTED MEDICATION OUTCOMES ON SOCIAL MEDIA
Author: Ru, Boshu
Date Created: 2018
Subjects--Topical: Computer science, Information technology, Medical sciences
Description: Drug repositioning has prominent advantages of lower safety risk and development cost than developing new drugs. It has attracted broad interests from the biomedical community. In the past decades, computational approaches have examined biological...

Title: Is the Usage of Wearable Devices Worth it? A Study of Perceived Risks and Fashion on Intention to Adopt Wearable Devices
Author: Lee, Edward
Date Created: 2015
Subjects--Topical: Management, Industrial management, Marketing
Description: Wearable technology became popular not only in the consumer market, but also in the field of academic research. Studies related to smart wearables have increased dramatically during recent years. However, personal safety perspectives of wearable d...

Title: Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Author: Hematialam, Hossein
Date Created: 2021
Subjects--Topical: Computer science
Description: In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzing medical texts and, in particular, Clinical Practice Guidelines (CPGs).We p...

Title: MODELING UNCERTAINTY IN DEEP LEARNING MODELS OF ELECTRONIC HEALTH RECORDS
Author: Qiu, Riyi
Date Created: 2020
Subjects--Topical: Information technology
Description: Recent research development has demonstrated the advantages of deep learning models in prediction tasks on electronic health records (EHR) in the medical domain. However, the prediction results tend to be difficult to explain due to the complex ne...

Title: Understanding the plight of Covid-19 Long Haulers through Computational Analysis of YouTube Content
Author: Jordan, Alexis
Date Created: 2022
Subjects--Topical: Computer science
Description: The coronavirus pandemic is a pervasive event that has had a drastic impact on countries globally. In the United States alone there have been over 98 million Covid-19 cases and over 1 million deaths. One consequence of Covid-19 infection has been ...