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Articles 1 - 2 of 2
Full-Text Articles in Collection Development and Management
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 …
Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie Lenora Day
Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie Lenora Day
Crop, Soil and Environmental Sciences Undergraduate Honors Theses
Museum biological collections store species data that can be utilized in research on biodiversity, environmental change, invasive species, public health, and disease. The University of Arkansas Arthropod Museum, which began in 1905, houses over 750,000 specimens and has not yet been digitized. Making data publicly accessible via the internet makes the data available to the entire scientific community. The goal of this project was to create a digital resource to allow greater access to the University of Arkansas Arthropod Museum holdings. To do so, data from Bombus (bumble bee) and Xylocopa (carpenter bee) specimens were databased in Excel and displayed …