A machine learning algorithm successfully screens for Parkinson's in web users.

Brit YoungmannLiron AllerhandOra PaltielElad Yom-TovDavid Arkadir

Published in: 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.

Keyphrases

machine learning
deep learning
artificial intelligence
big data
heavy metals
gene expression
neural network
risk assessment
decision making
single cell