Browsing Electronic Theses and Dissertations by Department "Biomedical Informatics"
Now showing items 61-80 of 131
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Efficient Development of Electronic Health Record Based Algorithms to Identify Rheumatoid Arthritis (2011-10-21)Department: Biomedical InformaticsElectronic Health Records (EHRs) are valuable tools in clinical and genomic research, providing the ability to generate large patient cohorts for study. Traditionally, EHR-based research is carried out through manual review ...
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(2010-12-06)Department: Biomedical InformaticsShotgun liquid chromatography/tandem mass spectrometry (LC-MS/MS) technology provides data sets rich in the type of information required proteomic quantitation; however, these data are not fully exploited by existing tools. ...
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(2023-01-20)Department: Biomedical InformaticsValidated in a general hospital population, the Vanderbilt Suicide Attempt and Ideation Likelihood (VSAIL) model predicts risk of suicide 30 days post-visit. VSAIL performance differed between clinical settings, noting ...
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(2011-07-27)Department: Biomedical InformaticsPilot studies have demonstrated the feasibility of using mobile technologies as a platform for electronic patient-centered medication management. Such tools may be used to intercept drug interactions, stop unintentional ...
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(2007-08-03)Department: Biomedical InformaticsThe aims of this project are to 1) build and evaluate a terminology that provides categorization labels, or tags, for common segments within clinical documents, and 2) to evaluate a tool to parse and label natural-language ...
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(2012-08-06)Department: Biomedical InformaticsThis thesis describes two studies evaluating the utility, discrimination and validity of an outpatient mortality risk score using an electronic adaptation of the Lee 4-year mortality risk model. In our initial study we ...
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(2021-12-02)Department: Biomedical InformaticsMany clinical natural language processing (NLP) methods rely on non-contextual or contextual word embedding models. Yet, few intrinsic evaluation benchmarks exist comparing embedding model representations against human ...
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(2024-02-29)Department: Biomedical InformaticsClinical risk prediction models trained on electronic health record (EHR) data can support clinicians in decision making by estimating prognostic risk. Major Depressive Disorder (MDD) risk modeling presents particular ...
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(2012-07-05)Department: Biomedical InformaticsMany medications have potentially serious adverse effects detected only after FDA approval. After 80 million people worldwide received prescriptions for the drug rofecoxib (Vioxx), its manufacturer withdrew it from the ...
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(2017-11-21)Department: Biomedical InformaticsThe reduced cost of sequencing has made it feasible to acquire multi-tissue site expression data from the same patient. In the field of cancer research, this has caused an accumulation of cancer type specific tumor with ...
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(2017-08-09)Department: Biomedical InformaticsLung cancer is the leading cause of cancer-related death in the United States and worldwide. Natural language processing (NLP) tools exist to determine smoking status (ever-smoker vs. never-smoker) from electronic health ...
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(2010-04-12)Department: Biomedical InformaticsAnswering questions such as “Which genes are related to breast cancer?” usually requires retrieving relevant publications through the PubMed search engine, reading these publications, and manually creating gene lists. This ...
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(2018-08-28)Department: Biomedical InformaticsNon-coding gene regulatory enhancers are essential to transcription in mammalian cells. As a result, a large variety of experimental and computational strategies have been developed to identify cis-regulatory enhancer ...
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(2015-07-06)Department: Biomedical InformaticsLipid identification from data sets produced with high-throughput technologies is essential to discovery in lipidomics experiments. A number of software tools for making lipid identifications from tandem spectra have been ...
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(2021-11-19)Department: Biomedical InformaticsClinical prediction models are increasingly common, particularly with advances in machine learning. Assigning outcome labels on which to train these models is challenging due to the time-consuming and resource-intensive ...
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(2020-08-18)Department: Biomedical InformaticsThe improper regulation of gene expression is a main cause of complex disease. Non-coding single nucleotide variants influence disease risk by altering gene regulatory elements, such as promoters and enhancers. In addition ...
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(2024-03-15)Department: Biomedical InformaticsImproving health outcomes and achieving health equity requires that researchers have access to large and diverse datasets. The Health Insurance Portability and Accountability Act of 1996 and other privacy legislation permit ...
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(2007-12-28)Department: Biomedical InformaticsIn this dissertation, I explore the applicability of text categorization machine learning methods to identify clinically pertinent and evidence-based articles in the literature and web pages on the internet. In the first ...
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(2011-04-07)Department: Biomedical InformaticsObservational studies of health conditions and outcomes often combine clinical care data from many sites without explicitly assessing the accuracy and completeness of these data. Data auditing is an expensive but effective ...
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(2009-07-15)Department: Biomedical InformaticsTandem mass spectrometry-based shotgun proteomics has become a widespread technology for analyzing complex protein mixtures. A number of database searching algorithms have been developed to assign peptide sequences to ...