Christopher Manning ’26
A Big-Data Approach to Investigating the Mechanisms of Dementia-Related Neurdegenerative Disorders
Christopher Manning ’26, Neuroscience major
Faculty mentor: Dr. Andra Geena, Neuroscience
This study applies machine learning tools to analyze sets of open data covering neural, clinical, cognitive, and other markers of Dementia Disorders. The goals of this project were to explore data illustrating cognitive decline in populations and establish predictive markers—indicators of the state or condition of a patient’s specific process, for instance their memory markers—that can compare the differences in decline among different groups. These markers will indicate certain cognitive levels experienced in different populations within the realm of neurodegeneration. This is done my running different sets of machine learning models (classification and regression) in order to see how different factors affect a persons condition, and their chances of have a dementia related disorder.
Poster Presentation: Wednesday, April 23, 1:30 – 3 p.m.
