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Full-Text Articles in Medicine and Health Sciences
Covid Synergy: A Machine Learning Approach Uncovering Potential Treatment Combinations For Sars-Cov-2, Jason Eden Sanchez
Covid Synergy: A Machine Learning Approach Uncovering Potential Treatment Combinations For Sars-Cov-2, Jason Eden Sanchez
Open Access Theses & Dissertations
For more than two years, the COVID-19 pandemic has upended the lives of billions of individualsworldwide leading to disruptions in healthcare, the economy and society at large. As the pandemic enters its third year, the human impact cannot be overstated and the need to develop effective pharmaceuticals remains. Though there currently exits FDA-approved medications for COVID-19, the emergence of novel variants, such as Omicron, highlights the importance of discovering new therapies which will continue to be effective regardless of the pandemicâ??s progression. Because discovering new medications is a costly and timeintensive endeavor, my approach entails drug repurposing to test medications …
Trajectories Of Medication Non-Adherence With Time-Varying Predictors And Association With Health Outcomes: A Comparison Of Classical Statistical Methods With Machine Learning Algorithms, Vasco Pontinha
Theses and Dissertations
Background: Medication adherence is a major obstacle to improving health care outcomes in long-term therapies for chronic diseases. According to the World Health Organization, interventions for improving medication adherence can have a higher impact on the health of the population than any other advance in medical treatments. Approximately 125,000 individuals die every year in the U.S. because of non-adherence to medication, representing societal costs of $100-289 billion. Previous research has successfully used group-based trajectories methods to identify similar longitudinal medication adherence trajectories. However, medication adherence is not an isolated behavior and is influenced by many factors that current interventions fail …