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. Fo[...]

This dissertation explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Cl[...]

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' inde[...]

Recent growth and development of big social media platforms like Twitter, Facebook,Instagram etc. and personal blog sites generate huge amount of unstructured data. Analy[...]

Background: The growth of social networking has created a paradigm in which many forms of personal communication are being replaced by internet communication technologies[...]

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 cas[...]

With the worldwide prevalence of obesity doubling over the past 30 years across a wide range of demographic and socioeconomic groups, the obesity epidemic is a major publ[...]

Natural language processing has become a very popular tool in many areas and has also drawn great attention in the community of health informatics. It is a series of proc[...]

In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzi[...]

Stance detection in social media data has received attention in recent years as an approach to determine the standpoint of users toward a target of interest, such as a pe[...]