In the next 30 years, Alzheimer’s disease cases are predicted to drastically increase. Consequently, there is a critical need for research that can counteract the increasing number of Alzheimer’s disease patients. However, current methods of Alzheimer’s disease research have significant limitations. For example, Alzheimer’s disease research is often restricted by resource, temporal, and recruitment barriers (e.g., participant dropout). Unlike standard research, big data analysis is excellent at investigating complex long-term phenomena such as Alzheimer’s disease.