Physical Sciences and Mathematics Commons^™

Examining Multimorbidities Using Association Rule Learning, Kaylee Dudley

Undergraduate Honors Theses

All insurance companies, regardless of the kind of insurance they offer, do their best to predict the future by comparing current to historical information. Any statistically significant correlation, regardless of expectations and hidden factors, can help to actuarially model future behavior. Using deidentified data from over 6 million health insurance policies over one year, we looked for any significant groupings of medical issues. The medical issues are defined based on the commercial “Episode Treatment Groups” (ETGs) classification, and our claims contain 347 different ETGs. We performed different kinds of analysis, including Bayesian posterior cluster analysis, k-means cluster analysis, and association …

Statistics And Biomechanics: An Interdisciplinary Evaluation Of The Mathematical, Practical, And Athletic Applications Of Principal Component Analysis, Sydney Grace Davis

Undergraduate Honors Theses

Excerpt from Introduction

Coaches and athletes around the world are in constant pursuit of improving their athletic performance. For some, a routine amount of weight lifting, cardiovascular exercise, agilities and flexibility training with gradual advancement may be enough to see growth. However, many are not satisfied and turn to in-depth analyses of their techniques in order to measure their progress. After an intense workout or competition, coaches spend time breaking down athletic performances based on major movements. By compartmentalizing these activities, they can identify which motions are efficient and which ones hinder fluid motion. From this evaluation and discernment, athletes …