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Biomedical Engineering and Bioengineering Commons™
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Full-Text Articles in Biomedical Engineering and Bioengineering
Scalable Approaches For Auditing The Completeness Of Biomedical Ontologies, Fengbo Zheng
Scalable Approaches For Auditing The Completeness Of Biomedical Ontologies, Fengbo Zheng
Theses and Dissertations--Computer Science
An ontology provides a formalized representation of knowledge within a domain. In biomedicine, ontologies have been widely used in modern biomedical applications to enable semantic interoperability and facilitate data exchange. Given the important roles that biomedical ontologies play, quality issues such as incompleteness, if not addressed, can affect the quality of downstream ontology-driven applications. However, biomedical ontologies often have large sizes and complex structures. Thus, it is infeasible to uncover potential quality issues through manual effort. In this dissertation, we introduce automated and scalable approaches for auditing the completeness of biomedical ontologies. We mainly focus on two incompleteness issues -- …
Interactive Clinical Event Pattern Mining And Visualization Using Insurance Claims Data, Zhenhui Piao
Interactive Clinical Event Pattern Mining And Visualization Using Insurance Claims Data, Zhenhui Piao
Theses and Dissertations--Computer Science
With exponential growth on a daily basis, there is potentially valuable information hidden in complex electronic medical records (EMR) systems. In this thesis, several efficient data mining algorithms were explored to discover hidden knowledge in insurance claims data. The first aim was to cluster three levels of information overload(IO) groups among chronic rheumatic disease (CRD) patient groups based on their clinical events extracted from insurance claims data. The second aim was to discover hidden patterns using three renowned pattern mining algorithms: Apriori, frequent pattern growth(FP-Growth), and sequential pattern discovery using equivalence classes(SPADE). The SPADE algorithm was found to be the …
Independent Component Analysis Enhancements For Source Separation In Immersive Audio Environments, Yue Zhao
Independent Component Analysis Enhancements For Source Separation In Immersive Audio Environments, Yue Zhao
Theses and Dissertations--Electrical and Computer Engineering
In immersive audio environments with distributed microphones, Independent Component Analysis (ICA) can be applied to uncover signals from a mixture of other signals and noise, such as in a cocktail party recording. ICA algorithms have been developed for instantaneous source mixtures and convolutional source mixtures. While ICA for instantaneous mixtures works when no delays exist between the signals in each mixture, distributed microphone recordings typically result various delays of the signals over the recorded channels. The convolutive ICA algorithm should account for delays; however, it requires many parameters to be set and often has stability issues. This thesis introduces the …