Physical and Mathematical Sciences
First Faculty Advisor
First Faculty Reader
machine learning, random forest, decision tree, Parkinson's disease
Parkinson’s Disease is a degenerative neurological condition that affects approximately 10 million people globally. Because there is currently no cure, there is a strong motivation for research into improved and automated diagnostic procedures. Using Random Forests, a computer can effectively learn to diagnose Parkinson’s disease in a patient with high accuracy (94%), precision (95%), and recall (91%) across the data of over 2800 patients. Using similar techniques, I further determine that the most predictive medical tests relate to tremors observed in patients.
BYU ScholarsArchive Citation
Brimhall, Brennon, "Machine Learning for Effective Parkinson's Disease Diagnosis" (2020). Undergraduate Honors Theses. 114.