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Description
Our perspectives and experiences are constantly shaped by the music around us. Through the writing, recording, and producing of color, an eight track concept album, we seek to explore and reflect upon life's most significant milestones. This paper chronicles the year-long creation process of color and highlights the important influences,…

Our perspectives and experiences are constantly shaped by the music around us. Through the writing, recording, and producing of color, an eight track concept album, we seek to explore and reflect upon life's most significant milestones. This paper chronicles the year-long creation process of color and highlights the important influences, challenges, and approach which made the album all the more transcendental.
ContributorsHuerta, Salvador (Co-author) / Tom, Nathan (Co-author) / Sandoval, Mathew (Thesis director) / Enriquez, Dante (Committee member) / School of the Arts, Media and Engineering (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Machine Learning Enabled Analytics for Health-Related Demographics: a Case Study Identifying Important Factors in Cardiac Disease

Description
Machine learning for analytics has exponentially increased in the past few years due to its ability to identify hidden insights in data. It also has a plethora of applications in healthcare ranging from improving image recognition in CT scans to extracting semantic meaning from thousands of medical form PDFs. Currently…

Machine learning for analytics has exponentially increased in the past few years due to its ability to identify hidden insights in data. It also has a plethora of applications in healthcare ranging from improving image recognition in CT scans to extracting semantic meaning from thousands of medical form PDFs. Currently in the BioElectrical Systems and Technology Lab, there is a biosensor in development that retrieves and analyzes data manually. In a proof of concept, this project uses the neural network architecture to automatically parse and classify a cardiac disease data set as well as explore health related factors impacting cardiac disease in patients of all ages.
ContributorsMurella, Akhila Sainagaki (Author) / Blain-Christen, Jennifer (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of the Arts, Media and Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05