Tesla STEM High SchoolClass of 2025Sammamish, Washington
- "Predicting Parkinson's Disease Using a Highly Accurate Convolutional Neural Network" with mentor Mohamed (Working project)
Predicting Parkinson's Disease Using a Highly Accurate Convolutional Neural Network
Started Aug. 31, 2021
Abstract or project description
To accurately diagnose Parkinson's Disease using image data, we are going to gather datasets from PPMI and BioFIND. The data will be plugged into a Convolutional Neural Network as that has been found to have the highest accuracy with regard to image data. PPMI and BioFIND both have thorough quantitative data and image data, so it is possible to make a second model that processes quantitative data. Therefore, the user is given the ability to chose which type of data they would find easiest to input.