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Code For Care: Hypertension Prediction In Women Aged 18-39 Years, Kruti Sheth
Code For Care: Hypertension Prediction In Women Aged 18-39 Years, Kruti Sheth
Electronic Theses, Projects, and Dissertations
The longstanding prevalence of hypertension, often undiagnosed, poses significant risks of severe chronic and cardiovascular complications if left untreated. This study investigated the causes and underlying risks of hypertension in females aged between 18-39 years. The research questions were: (Q1.) What factors affect the occurrence of hypertension in females aged 18-39 years? (Q2.) What machine learning algorithms are suited for effectively predicting hypertension? (Q3.) How can SHAP values be leveraged to analyze the factors from model outputs? The findings are: (Q1.) Performing Feature selection using binary classification Logistic regression algorithm reveals an array of 30 most influential factors at an …
Identifying Youth Appeals In Alcohol Alternative Social Media Content Through Framing, Melina Oneal
Identifying Youth Appeals In Alcohol Alternative Social Media Content Through Framing, Melina Oneal
West Chester University Master’s Theses
Proposed regulations for alcohol advertising prevent beverage companies from targeting people under the legal drinking age. However, similar regulations for alcohol alternative beverages are less explored, which could allow alcohol alternative products to create awareness for alcoholic beverages among youth. Alcohol alternatives beverages, including no-alcohol and low-alcohol products, are increasing in popularity and can function as compliments to alcoholic products to decrease the total alcohol volume consumed or as substitutes for alcoholic products. Framing theory can be operationalized through the Content Appealing to Youth Index, an index of content elements found in research literature to be appealing to youth, to …