Medical Humanities Commons^™

Modeling Of Covid-19 Clinical Outcomes In Mexico: An Analysis Of Demographic, Clinical, And Chronic Disease Factors, Livia Clarete

Dissertations, Theses, and Capstone Projects

This study explores COVID-19 clinical outcomes in Mexico, focusing on demographic, clinical, and chronic disease variables to develop predictive models. In the binary classification task, the Ada Boost Classifier distinguishes survivors from non-survivors, with age, sex, ethnicity, and chronic medical conditions influencing outcomes. In multiclass classification, the Gradient Boosting Classifier categorizes patients into outcome groups.

Demographic variables, especially age, are crucial for predicting COVID-19 outcomes for both the binary and multiclass classification tasks. Clinical information about previous conditions, including chronic diseases, also holds relevance, especially diabetes, immunocompromise, and cardiovascular diseases. These insights inform public health measures and healthcare strategies, emphasizing …

Impact Of Personal, Familial, And Socioeconomic Factors On The Return Of Remotely Collected Samples For Genetic Testing, Jordan Zeiger

Dissertations & Theses (Open Access)

There are a multitude of barriers known to impact access to medical care in the United States. COVID-19 has changed and compounded these barriers and led to a shift in the setting of the genetic counseling (GC) appointment, and in sample types used for genetic testing, specifically with use of telemedicine and remotely collected saliva kits. Previous studies have described lack of patient follow-through in returning these kits. Though the understanding of barriers to medical care, including access to genetics services, is well described, there is little in the literature for how these barriers impact the return of remotely collected …