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Full-Text Articles in Medicine and Health Sciences
Applications Of Machine Learning Methods In Health Outcomes Research: Heart Failure In Women, Khalid Abdullah Alhussain
Applications Of Machine Learning Methods In Health Outcomes Research: Heart Failure In Women, Khalid Abdullah Alhussain
Graduate Theses, Dissertations, and Problem Reports
There is robust evidence that heart failure (HF) is associated with substantial mortality, morbidity, poor health-related quality of life, healthcare utilization, and economic burden. Previous research has revealed that there are sex differences in the epidemiology, etiology, and disease burden of HF. However, research on HF among women, especially postmenopausal women, is limited. To fill the knowledge gap, the three related aims of this dissertation were to: (1) identify knowledge gaps in HF research among women, especially postmenopausal women, using unsupervised machine learning methods and big data (i.e., articles published in PubMed); (2) identify emerging predictors (i.e., polypharmacy and some …
Obese Zucker Rats As A Reverse Translational Model Of Human Left Ventricular Hypertrophy, Mackenzie Shelby Newman
Obese Zucker Rats As A Reverse Translational Model Of Human Left Ventricular Hypertrophy, Mackenzie Shelby Newman
Graduate Theses, Dissertations, and Problem Reports
Heart failure is a lifelong disability that for over half of those affected leads to mortality within five years after initial diagnosis. Left ventricular hypertrophy (LVH) is one of the most reliable independent predictors of heart failure. Pathological LVH is irreversible, but early diagnosis is often missed due to its asymptomatic nature. Obese Zucker rats (OZR), which develop obesity due to dysfunctional leptin signaling, naturally exhibit a LVH that mimics the obese human condition. Animal models are necessary because human donor tissue is scarce. The central hypothesis is that genes and proteins that are differentially expressed during development of LVH, …