Browsing by Department "Biomedical Informatics"
Now showing items 21-40 of 131
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(2022-07-21)Department: Biomedical InformaticsComputational models have proven to be effective tools for studying and understanding the complex behavior of cellular biochemical interactions. However, I show that building accurate models is an exceptionally difficult ...
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(2020-08-18)Department: Biomedical InformaticsAn increasing body of literature suggests that the human microbiome can be used to identify and predict the development of many diseases. Machine learning algorithms are often used to facilitate the disease-classification ...
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(2023-03-07)Department: Biomedical InformaticsMany Human Trafficking (HT) survivors report health-related complications and report seeking medical treatment while being trafficked. Yet, many go unrecognized despite their frequent interaction with healthcare providers. ...
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(2011-06-28)Department: Biomedical InformaticsElectronic medical record (EMR) systems have enabled healthcare providers to collect detailed patient information from the primary care domain. At the same time, longitudinal data derived from EMRs are increasingly combined ...
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(2013-07-29)Department: Biomedical InformaticsObjective: Supervised machine learning methods have shown good performance in text classification tasks in the biomedical domain, but they often require large annotated corpora, which are costly to develop. Our goal is to ...
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(2009-07-27)Department: Biomedical InformaticsClinical decision support in electronic prescribing (e-Rx) systems can improve patient safety and quality of care. Despite the availability of drug information knowledgebases and decision support modules, users often disable ...
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(2022-12-09)Department: Biomedical InformaticsSuicide is a significant threat to public health. In the United States, 47,500 people died from suicide in 2019, a 10-year increase of 30%. Informaticians studying suicide are working on improved ways to analyze suicide ...
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(2018-07-27)Department: Biomedical InformaticsFor many patients with chronic diseases, navigating the complex medical system to receive care can be a daunting task. Patients often need to see multiple providers and undergo multiple procedures, which can be physically ...
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(2013-12-09)Department: Biomedical InformaticsClinical providers frequently document patient encounters using unstructured text. Although such text contains a wealth of data useful for improving healthcare, extracting it can be difficult. Natural language processing ...
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(2017-09-25)Department: Biomedical InformaticsBarriers faced by patients with diabetes can prevent them from adhering to their prescribed plan of care. An aspect of the clinical encounter that detracts from patient-provider engagement is the work required for a provider ...
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(2018-07-16)Department: Biomedical InformaticsStandards, such as the Logical Observation Identifiers Names and Codes (LOINC®) are critical for interoperability and integrating data into common data models, but are inconsistently used. Without consistent mapping to ...
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(2005-07-29)Department: Biomedical InformaticsThe success of treatment of patients with cancer depends on establishing an accurate diagnosis. To this end, we have built a system called GEMS (Gene Expression Model Selector) for the automated development and evaluation ...
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(2015-11-12)Department: Biomedical InformaticsPeople with questions about their health have been seeking answers from online resources. Patient portals, electronic applications that allow patients to interact with their healthcare providers, have had increasing adoption ...
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(2012-11-05)Department: Biomedical InformaticsIn shotgun proteomics, database search algorithms rely on fragmentation models to predict fragment ions that should be observed for a given peptide sequence. The most widely used strategy (Naïve model) is oversimplified, ...
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(2016-03-28)Department: Biomedical InformaticsThe Biochemical Library (BCL) is a protein structure prediction algorithm developed in the Meiler Lab at Vanderbilt University based on the placement of secondary structure elements (SSEs). This algorithm incorporates ...
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(2013-04-08)Department: Biomedical InformaticsThe Biochemical Library (BCL) is a protein structure prediction algorithm developed in the Meiler Lab at Vanderbilt University based on the placement of secondary structure elements. This algorithm can use experimental ...
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(2009-04-14)Department: Biomedical InformaticsThe purpose of this research was to evaluate the collaborative design of an online community for cancer survivorship in middle Tennessee. The four primary aims of this qualitative study were to define the local cancer ...
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(2012-07-10)Department: Biomedical InformaticsPurpose: Chemotherapy plan abstraction is an important clinical and research task in medicine. Providers review the treatment plan history and the response to the treatment to make decisions about continuing or changing ...
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Classification and Characterization of Sleep Apnea using Machine Learning Methods on Sleep Studies (2021-01-19)Department: Biomedical InformaticsObstructive Sleep Apnea (OSA) Syndrome is a sleep disorder in which breathing rapidly starts and stops during sleep. It has been independently linked to multiple adverse health outcomes including an increased risk of ...
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(2022-06-20)Department: Biomedical InformaticsPediatric cardiac surgeries are commonly performed procedures. Postoperative infections complicate as many as 30% of procedures, increasing cost, length of stay, morbidity, and possibly mortality. If a patient’s risk of ...