Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Healthcare Finance"”.
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Financial signal processing : applications to asset-market dynamics and healthcare finance
… markets and the regulatory approval process in healthcare. This thesis approaches the statistical analysis of such processes through the lens of signal processing, with a particular emphasis on studying how dynamics evolve over time. We begin with a brief introduction to financial signal …
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Risk and Uncertainty in Healthcare Finance, Investment Management, and Asset Pricing
… challenge for academics and practitioners in finance and economics. At its core, the challenge requires to understand both the randomness in the underlying process as well as the way humans respond to it when making decisions. This thesis focuses on these challenges from three different …
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Design and development of an LLM-based framework for synthetic data generation
… for high-quality datasets in fields such as healthcare, finance, and cybersecurity is hindered by challenges such as data scarcity, privacy concerns, and regulatory restrictions. This thesis introduces a novel framework for generating synthetic data using fine-tuned Large Language Models …
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Efficient Uncertainty Quantification of Large Language Models
… especially in high-stakes domains such as healthcare, finance, and law. Uncertainty Quantification (UQ) is essential for assessing LLM outputs and ensuring trust. However, existing UQ methods for LLMs face challenges: high computational costs, difficulties in handling unstructured outputs, …
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Parallel SPARQL Query Execution using Apache Spark
… on the Web, as well as in domains such as healthcare, finance, and national security and intelligence. While we have witnessed an era of many different techniques for RDF indexing and SPARQL query processing, the rapid growth in the size of RDF knowledge bases demands scalable techniques …
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A Systems Theory Approach to Cybersecuring a Supervised Machine Learning System
… field with many applications in areas such as healthcare, finance, and transportation. As machine learning becomes more prevalent, it is important to ensure that these systems are secure and can resist attacks from malicious actors. This is particularly difficult because Machine Learning has …
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Investigating roadblocks to artificial intelligence adoption in enterprises through a systems perspective
… driver and value creator for industries such as healthcare, finance, education, manufacturing, and retail. Although a few enterprises are successful in adopting AI, others are struggling to identify potential AI use cases and realize investment returns. There are significant challenges …
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BURLAP: Bits of Useful Randomness enable Learning with Adjustable Privacy
… algorithms in high-impact domains such as healthcare, finance and policy. While cryptography-based approaches such as Fully Homomorphic Encryption (FHE) can be used to provide privacy guarantees that have been rigorously characterized and proven, their adoption comes with two main practical …
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Techniques for Interpretability and Transparency of Black-Box Models
… which has been deployed in many domains such as healthcare, finance and justice. However, recent advances are largely powered by deep neural networks, whose opacity hinders people's ability to inspect these models. Furthermore, legal requirements are being proposed to require a level of model …
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Multi-Mode Robust Appointment Scheduling for Uncertain Service Time and Random No-Show Using Min-Max Optimization
… including those that provide services, healthcare, finance, and legal advice. Uncertainty of processing time and job no-shows make the problem more challenging. The majority of the literature now in existence makes unrealistic assumptions about most real-world scenarios, such as constant …
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Learning from Commerce Data: from Theory to Practice
… has also sparked ongoing collaborations in healthcare, finance, and sustainability, extending its applicability beyond retailing. The outcomes have been consolidated and documented in an open-source Python package available at: https://github.com/TianyiPeng/causaltensor.
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Task Oriented Privacy-preserving (TOP) Technologies Using Automatic Feature Selection
… applied on the dataset. In many domains such as healthcare, finance, etc; however, it is possible to identify the analysis task beforehand. Incorporating such knowledge of the ultimate analysis task may improve the quality of the anonymized data while protecting the privacy of individuals. …
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Improving the Performance of Parallel SPARQL Query Processing on Apache Spark Using Bloom Filters
… number of applications in domains such as healthcare, finance, and national security that are employing RDF and Web Ontology Language (OWL). In recent years, the size of RDF datasets on the Web has grown tremendously. Techniques designed for centralized RDF query processing are no longer …
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API Utility Enhancement: From Traditional Software to Deep Learning Frameworks
… in accelerating innovation across domains like healthcare, finance, cloud computing, and increasingly, deep learning frameworks. However, this growing dependence on APIs has also introduced significant challenges related to their usability and reliability. Developers often face the complexity of …
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Privacy elicitation and utilization in distributed data exchange systems
… of systems in the more disparate fields (healthcare, finance, education, public security). This trend responds to the increasing needs of data to monitor, compare, correlate and analyse the distributed business processes managed by different institutions and companies for different …
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Machine learning models for reliable airline ancillary pricing
… across key application areas such as healthcare, finance, law systems, and pricing. However, evaluating the predictive power of models on historical data is not enough. When deploying ML models in the real-world, system designers may wish that models exhibit certain properties which …
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Designing Behavior-Aware AI Systems to Influence Human Decision-Making
… human decision-making across domains like healthcare, finance, and academia. Despite these strengths, real-world applications often involve complex, context-specific judgments and a deep understanding of human values, which current AI systems might not fully grasp. In domains requiring …
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Enhancing Proof-of-Learning Security Against Spoofing Attacks Using Model Watermarking
… (ML) technologies across diverse domains such as healthcare, finance, and autonomous systems, ensuring secure and trustworthy training methodologies has become more critical than ever. Proof-of-Learning (PoL) has recently emerged as a foundational mechanism for verifying the computational effort …
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Healthcare Strategic Management: The Impact of State and Federal Funding Levels on the Implementation of Strategic Plans at Tennessee Hospitals.
<p>The purpose of this study was to determine hospital executive management’s perceptions of how turbulence in the politico-legal sector of the macroenvironment impacted the strategic management systems of Tennessee hospitals. In particular, how did Federal and State funding restrictions (Medicare …