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Detecting Pathobiomes Using Machine Learning, Valerie Jackson, Valerie Jackson
Detecting Pathobiomes Using Machine Learning, Valerie Jackson, Valerie Jackson
Industrial Engineering Undergraduate Honors Theses
Machine learning is a field with high growth potential due to the overall continuous progressions, developments, advancements, and improvements caused by the way it is used to help interpret and use large amounts of data [1]. One type of data that can be collected and analyzed by these machine learning models is data that is associated with DNA and information that the DNA gives. The research will be focusing specifically on using machine learning technology to detect pathobiomes indicative of salmonella pork. The pathobiome associated with salmonella is very similar to others, and this causes a problem for classification/detection with …
Characterizing Statin Use Among Prediabetic Patients With Predictive Analytics, Alexandra Gentile
Characterizing Statin Use Among Prediabetic Patients With Predictive Analytics, Alexandra Gentile
Industrial Engineering Undergraduate Honors Theses
Diabetes is one of the leading causes of death in the United States and can cause severe impairments to those diagnosed. Prediabetes is a state when a patient has higher fasting plasma glucose levels than a non-diabetic person but is not quite high enough to be considered diabetes. Both diabetic and prediabetic patients are at higher risk for cardiovascular diseases (CVD), which is the leading cause of death in the United States. The primary form for prevention and treatment of CVD is through statin therapy. Statins are a class of medications used to treat and prevent CVD by limiting cholesterol …