Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes of Parkinson’s disease, with one reaching an accuracy of 95%.
The discovery could help clinicians identify the risk for developing mental illness earlier and improve treatment options. The study is published in the Proceedings of the National Academy of Sciences (PNAS).
An interdisciplinary study led by University of California, Riverside, computer scientists found that both internet information gathering services have strengths and weaknesses for people seeking information about Alzheimer's disease and other forms of dementia.
The study, published in the journal Nature Communications, used wastewater data from 159 counties in the US, covering nearly 100 million Americans, along with US hospital admission records, to develop the prediction model.