Dissertations and Theses (Open Access)
Open Access full-text dissertations from McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI). 2003 - current.
A few older copies (2003-2008) are also available in print at The TMC Library. They're available via OneSearch under the subject heading: "Dissertations, Academic--University of Texas Health Science Center at Houston, School of Health Information Sciences" for a full list, or search for known individual dissertations using the main search box or the DigitalCommons@TMC search box in the white banner above.
Dissertations from 2024
Improving Distributed Health Information Technology Integration through Enriched Context in Sociotechnical System Components, Jeritt Thayer
Decoding Disease Mechanisms: Unraveling Large-Scale Biological Data for Novel Therapeutic Target Discovery, Yuntao Yang
An Informatics Framework for Representing, Detecting, and Measuring Citations of Biomedical Datasets, Xu Zuo
Dissertations from 2023
Cancer Risk Prediction and Interpretation from Electronic Health Records, Zhao Li
Translational Bioinformatics Approaches for Decoding Mechanisms and Developing Drug Repositioning Strategies in Multiple Sclerosis, Astrid Manuel
Automating Construction of Fair Models for HIV Risk Prediction Using Neighborhood Data, Sarah May
Question Answering from Electronic Health Records, Sarvesh Soni
Leveraging Digital Technologies for Management of Peripartum Depression to Mitigate Health Disparities, Alexandra Zingg
Dissertations from 2022
Social Network Analysis of Online Support Communities for Adolescent and Young Adult Cancer Survivors, Carlos Perez Aldana
Spatial Information Extraction from Radiology Reports, Sarabhi Datta
Identifying Risk Factors for Anchoring Bias during Emergency Department Transitions of Care, Roni Matin
Proposing a Conceptual Model of the Unintended Consequences of Health Information Technology Policy, Nina Smith
Utilizing Molecular Pathways to Provide Generalizable, Explainable, and Translatable Models from Cancer Drug Response Prediction, Yi-Ching Tang
Disease Concept Normalization for Clinical Documents Using Deep Learning and Knowledge Graphs, Jingqi Wang
Development of Enabling Technologies for Genomic Analysis, Su Wang
Informatics Approaches for Capturing Dynamic Gene Expression and Regulation, Fangfang Yan
Computer-Aided Diagnosis for Melanoma using Ontology and Deep Learning Approaches, Xinyuan Zhang
Dissertations from 2021
Standardizing New Diagnostic Tests to Facilitate Rapid Responses to The Covid-19 Pandemic, Xiao Dong
Dissertations from 2020
Table-to-Text: Generating Descriptive Text for Scientific Tables from Randomized Controlled Trials, Qiang Wei