I would like to clarify the use of machine learning algorithms. In Wiki page "2 - Challenge Overview" it reads: "Challenge participants will be provided with mobile sensor data from which they will extract salient features for disease prediction, these features will be used to build predictive models using a suite of standard machine learning algorithms." I would like to know does "these features" mean ONLY these features. Or are you additionally using other data (like age, gender,...) as features as well?

Created by Riku Klén rklen
@dperrin- We were trying to wait to announce the webinar with the next data release, but have hit another snag. The webinar will be Wednesday, Sept 6th at 9am PDT.   Please register for Parkinsons Disease Digital Biomarker DREAM Challenge Introductory Webinar on Sep 6, 2017 9:00 AM PDT at: https://attendee.gotowebinar.com/register/7977199137082222082 After registering, you will receive a confirmation email containing information about joining the webinar.
Hi Solly, Do you know when the webinar will take place? I could not find any information on the wiki. Thanks, Dimitri
Riku- We will provide a further details at the webinar. Currently we are still sorting out the exact approach. Thanks for your participation! Solly
Thanks. Would it be possible to have a list of these features?
Yes, the models we build from your features will also include patient specific information such as age and gender.

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