A/B Testing and Predictive Models

“Amyloid positivity” is a key risk indicator of Alzheimer’s disease. Amyloid status is considered to be positive when Amyloid Beta (A) protein, also referred to as amyloid plaque, is accumulated in the brain with sufficient density to meet a threshold. The goal of this capstone project is to use machine learning and other advanced analytics approaches to construct a model that predicts whether a single individual is amyloid positive or negative. The potential for this project is that your deliverables are integrated into Biogen’s Alzheimer’s treatment pipeline.

See also: Biogen, 2017