Design, Implementation and Interpretation of Algorithms to Predict the Progression of Alzheimer's Disease
Alzheimer's Disease (AD) is a serious public health issue that results in significant social and financial burdens on the individuals and communities impacted. In order to tackle this public health crisis it is critical that the clinical and computational research communities collaborate to identify possible causes of this progressive memory disease. Close collaboration between these two communities has the potential to result in promising therapeutic treatments for AD and other health conditions. This dissertation presents a collection of algorithms and associated derivations designed to predict ...
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