A machine learning algorithm successfully screens for Parkinson's in web users
Annals of clinical and translational neurology, 2019.
An automatic classifier, based on mouse and keyboard interactions with a search engine, is able to reliably trace individuals at high risk for actual Parkinson's disease as well as to demonstrate more rapid progression of disease-related signs in those who screened positive. This ability raises novel ethical issues.
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