Browsing Electronic Theses and Dissertations by Subject "machine learning"
Now showing items 21-40 of 53
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(2016-06-24)Department: EconomicsLegacy carriers in the U.S. airline industry have a long history of vigorously defending their most important hubs from low cost carrier expansion. Since 2005, the U.S. airline industry has undergone some of the most ...
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(2021-11-19)Department: BiostatisticsObservational studies with time-to-event outcomes in electronic healthcare records have been widely used to estimate the effects of treatments, exposures, and medical interventions on health outcomes in a typical clinical ...
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(2021-01-11)Department: Mechanical EngineeringThe ability to estimate musculoskeletal dynamics (e.g., forces, stress and motion of individual muscles, bones and tendons) provides numerous scientific, societal, and clinical opportunities. Over the past few decades, new ...
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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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(2007-12-18)Department: Electrical EngineeringIn order to provide preventative security to a homogeneous device network, techniques in addition to static encryption must be implemented to assure network integrity by identifying possible deviant nodes within the ...
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(2019-01-21)Department: Biomedical EngineeringOphthalmic surgery involves manipulation of layered tissue structures on milli- to micrometer scales. Traditional surgical microscopes provide a two-dimensional view of the surgical field with limited depth perception which ...
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(2008-12-15)Department: Biomedical InformaticsThe evaluation of the literature is an increasingly integral part of biomedical research. Clinicians, researchers, librarians, and others routinely use the literature to answer questions for clinical care and research. ...
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(2006-11-01)Department: Human GeneticsBiological organisms are complex systems that dynamically integrate inputs from a multitude of physiological and environmental factors. Complex clinical outcomes arise from the concerted interactions among the myriad ...
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(2010-12-21)Department: Human GeneticsGrowing interest and burgeoning technology for discovering genetic mechanisms that influence disease processes have ushered in a flood of genetic association studies over the last decade, yet little heritability in highly ...
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(2018-11-29)Department: Biomedical InformaticsImplementing machine learning in healthcare has increased in the past years. Representing clinical data is the Crux of machine learning. Learning informative features can improve the trained models’ performance. This ...
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(2017-04-17)Department: Biomedical InformaticsPatient care is complex and imperfect. Understanding and improving patient care requires clinical datasets and scientific methodology. We designed a set of methods to characterize the state of patient care and identify ...
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(2011-08-03)Department: ChemistryThe focus of this work was to establish quantitative structure activity (QSAR, potency of allosteric modulators) and property (QSPR, carbon chemical shifts) relations for molecules with known structure and activity/property ...
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Machine Learning Based Prediction and Classification of Properties of Engineered Composite Materials (2020-04-03)Department: Civil EngineeringIn an engineered composite material, the behavior of different phases and their interactions determine the response of the material as a whole. Data-driven machine learning techniques have emerged as a promising tool for ...
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(2018-09-20)Department: Computer ScienceOpen-Ended Learning Environments (OELEs) describe a class of environments that provide students with learning goals that are usually in the form of complex problem-solving and model-building tasks. OELEs also scaffold ...
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(2005-12-16)Department: Biomedical InformaticsIn light of the growing scarcity of livers available for transplantation, careful decisions must be made in organ allocation. The current standard of care for transplant decision making is the use of clinical judgment, ...
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(2017-04-05)Department: Biomedical InformaticsIntegrating personalized risk predictions into clinical decision support requires well-calibrated models, yet model accuracy deteriorates as patient populations shift. Understanding the influence of modeling methods on ...
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(2022-03-25)Department: Civil EngineeringThe purpose of uncertainty quantification in the system response prediction is to support decision-making under uncertainty. For complex engineering systems, recent efforts have focused on using computational models for ...
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(2019-08-30)Department: Electrical EngineeringAutism Spectrum Disorder (ASD) is characterized by social interaction deficits, verbal and non-verbal communication skill deficits, repetitive behaviors, and fixed interests. Given the limited availability of professionals ...
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(2020-07-20)Department: BiostatisticsAccelerometers are widely used in industry, engineering, and consumer electronics; however, they have been increasingly utilized in biology and healthcare research. In this thesis, we explore and develop the use of several ...
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(2013-12-16)Department: Biomedical InformaticsCoronary artery disease (CAD) is the leading cause of death worldwide. Acute coronary syndromes (ACS), a subset of CAD, account for 1.4 million hospitalizations $165 billion in costs in the United States alone. A major ...