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Elucidating The Relationship Between Recombination Frequency And Antibiotic Resistance In Staphylococcus Aureus, Joseph R. Matthews
Elucidating The Relationship Between Recombination Frequency And Antibiotic Resistance In Staphylococcus Aureus, Joseph R. Matthews
Legacy Theses & Dissertations (2009 - 2024)
Staphylococcus aureus is a common commensal and opportunistic pathogen of humans. It causes a variety of diseases, ranging from skin and soft infections to life-threatening invasive diseases. Many strains of S. aureus have developed resistance to a variety of antibiotic classes, including many beta-lactams. The evolution and dissemination of antibiotic resistance in S. aureus lay in large part to its remarkable ability of acquiring DNA from other organisms through horizontal gene transfer and recombination. In this study, I elucidated the relationship between frequencies of recombination events and horizontally acquired antibiotic resistant genes in a population of S. aureus sampled from …
Using Machine Learning To Predict Super-Utilizers Of Healthcare Services, Kevin Paul Buchan Jr.
Using Machine Learning To Predict Super-Utilizers Of Healthcare Services, Kevin Paul Buchan Jr.
Legacy Theses & Dissertations (2009 - 2024)
In this dissertation, I aim to forecast high utilizers of emergency care and inpatient Medicare services (i.e., healthcare visits). Through a literature review, I demonstrate that accurate and reliable prediction of these future high utilizers will not only reduce healthcare costs but will also improve the overall quality of healthcare for patients. By identifying this population at risk before manifestation, I propose that there is still time to reverse undesirable healthcare trajectories (i.e., individuals whose clinical risk increases an excessive healthcare and treatment burden) through timely attention and proper care coordination. My dissertation culminates in the delivery of state-of-the-art predictive …