Accurate model representation is critical for conveying assumptions and guiding data analysis, especially when using observational data. This qualitative study employed a [...]

Suicide has been identified as one of the leading causes of death nationally and globally. Because of the complex dynamics of risk factors that contribute to suicidal beh [...]

The system of oppression embedded in the industrial production and consumption of animal products is a social problem. The animal-industrial complex is a significant part [...]

This dissertation develops machine learning methods to address key barriers in precision oncology, focusing on spatial biology, multimodal data integration, and clinical [...]

Microarray gene expression research frequency generates large numbers of questions or information needs throughout the course of the experiment. Many of these questions r [...]

This thesis is concerned with the design and implementation of BArry, a microarray data warehouse. The warehouse stores microarray expression data, information about labo [...]

What can we understand and predict about our health based on where we live, where we work, and where we've been?

Measuring cognitive function is challenging, as traditional neuropsychological tests lack ecological validity and fail to capture underlying processes. This study investi [...]

In order to improve treatment for a variety of forms of cancer, improved basic understanding of tumor microenvironments is needed. In this thesis, I review the state of t [...]

Health information technologies (HIT) such as electronic health records (EHRs), and computerized provider order entry (CPOE) systems. clinical decision support systems (C [...]