AI Case Study
Duke University is researching how to predict the onset of Parkinsons by analysing mouse usage with machine learning classifiers
Certain patterns in mouse usage such as tremors when using a mouse, repeat queries and average scrolling velocity can be used to predict onset of Parkinson’s disease. This could be useful in preventing misdiagnosis as symptoms are similar across several diseases.
Industry
Healthcare
Healthcare Providers And Services
Project Overview
Slight variation in physical movements can be monitored over time by using sensors or analysing mouse usage to predict early onset of certain diseases. Certain patterns in mouse usage such as tremors when using a mouse, repeat queries and average scrolling velocity can be used to predict onset of Parkinson’s disease. This could be useful in preventing misdiagnosis as symptoms are similar across several diseases.
Reported Results
Results not yet available.
Technology
Function
R And D
Product Development
Background
Nearly one in six people suffer from neurological disorders such as Parkinsons. Researchers at Duke University are developing a model to predict early onset of such conditions.
Benefits
Data