Arabic Arabic English English French French German German

Machine learning can identify signs of Alzheimer’s in patients recalling the story of Cinderella

A new study by researchers from the Neurosciences Research Centre at St George’s has identified the strengths and limitations of different tasks used to detect the early signs of Alzheimer’s disease through speech analysis and machine learning. Published in the journal Frontiers in Computer Science, the study demonstrates that while machine learning can be used to assess speech patterns for signs of disease, the specific task assigned to the person being tested plays a critical role in test accuracy. Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

Previous Post

Revealing the mystery behind non-alcoholic liver disease

Next Post

Patient Reported Quality of Life Surveys Used In Clinical Trials

Related Posts