Find out more about the study on machine learning and the freezing of gait.
Machine learning may help predict risk of freezing of gait in Parkinson’s disease
Author: Sarah McGrathPublished: 19 January 2023
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Difficulty taking steps forward, often referred to as the freezing of gait (FOG), is a common symptom experienced by people with Parkinson’s and one that can be difficult to predict.
China-based researchers suggest that machine learning – artificial intelligence (AI) that uses algorithms to analyse data – could help predict the risk of freezing of gait developing in the early stages of the condition.
Their study, published in ‘npj Parkinson’s Disease’, gave laboratory and clinical data to a machine learning model brain. This information was collected from 158 adults with untreated early-stage Parkinson’s and 73 healthy adults over a five-year period.
They found that the risk of FOG could be predicted with an accuracy rate of up to 78%. The study authors suggested that machine learning methods “have the potential to help predict future FOG in patients with early Parkinson’s at an individual level”.
To find out more about the latest Parkinson’s research, visit the Parkinson’s Europe website.
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