New Algorithm Groups Parkinson’s Symptoms to Predict Progression

New Algorithm Groups Parkinson’s Symptoms to Predict Progression

301839

New Algorithm Groups Parkinson’s Symptoms to Predict Progression

Researchers with IBM and the Michael J. Fox Foundation developed a computational model that may help physicians better understand how Parkinson’s disease will progress among individuals. In their study, the algorithm — based on a branch of computer science called machine learning — identified groups of Parkinson’s symptoms and predicted how they would progress in timing and severity. That study, “Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning,” was…

You must be logged in to read/download the full post.