Award-winning Machine Learning Algorithm
Every year, 60,000 Americans are diagnosed with Parkinson’s disease (PD), a progressive neural disease that causes mental degeneration. Signs of this can often be seen in distorted speaking patterns such as slurred words and mumbling. In Maya's Polygence project, she made a machine learning algorithm that uses speech features to predict whether a patient has PD. Building off of an automatic voice recording and segmentation tool, Maya developed a fully automated, intelligent system capable of early detection and diagnosis of PD.
Maya won 2nd place in the computer science category at the Alameda County Science and Engineering Fair!Check out her project!
Maya is a 16 year-old high schooler from Dublin, CA.
Polygence was an incredible introduction to research as a high schooler. Working one-on-one with my mentor taught me many valuable techniques and key steps in making machine learning projects. I enjoyed learning about ways to process data and use different algorithms to make accurate predictions off of it. Near the end of the program, using academic writing to present my findings was also a great way to learn about standards for publishing research in the field. I can definitely say that Polygence has empowered me to pursue research in the intersection of machine learning and medicine beyond the program.