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Public Health Applications Using Big Data and Machine Learning Methods: Name- and Location-based Aboriginal Ethnicity Classification and Sentiment Analysis of Breast Cancer Screening in the United States Using Twitter
DownloadFall 2017
Applications using big data and machine learning techniques are transforming how people live in the 21st century, however they are generally underutilized in public health compared to other domains. We proposed and conducted two independent studies to investigate how big data and machine learning...
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Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback
DownloadFall 2016
We study the large-scale video recommendation problem based on user viewing logs instead of explicit ratings. As viewing records are implicitly positive samples, existing matrix factorization methods fail to generate discriminative recommendations based on such one-class data. We propose a...
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Spring 2018
Lung cancer has the highest mortality rates of all cancers worldwide, with a 5-year survival rate less than 15%. Screening methods are in need for the high risk population, as lung cancer is asymptomatic in its early stages. Proper screening methods would allow earlier diagnosis and curative...