BEAT-PD is a data challenge designed to benchmark new methods to predict Parkinson’s disease progression. Specifically, its objective is to determine whether disease severity and progression can be assessed from passive sensor data collected during daily life.
Teams participating in the Challenge will have access to raw sensor (accelerometer and gyroscope) time-series data that can be used to predict individual medication state and symptom severity. Using the sensor data, participants will be asked to tackle specific subchallenges. Teams can submit methods to predict (1) on/off medication status, (2) dyskinesia severity, and/or (3) tremor severity. Training/test set partitioning has been done within study subject to facilitate building of personalized predictive models. Due to the wide range in number of observations by subject, accuracy will be assessed within study subject. The subject-specific accuracy will then be weighted across subjects to arrive at a final score. The best solution will minimize the Final Score.
The Challenge is being conducted by The Michael J. Fox Foundation for Parkinson’s Research (MJFF) and Sage Bionetworks in partnership with Evidation Health, Northwestern University, Radboud University Medical Center, and BRAIN Commons.
1. Register at synapse.org/beatpdchallenge
2. Join or Create a Team
3. Access the Data
4. Enter Your Submission