Developing better digital health measures of parkinson’s disease using free living data and a crowdsourced data analysis challenge

HIGHLIGHTS

• who: Solveig K. Sieberts et al. from the Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, Illinois, United States have published the research work: Developing better digital health measures of Parkinsonu2019s disease using free living data and a crowdsourced data analysis challenge, in the Journal: (JOURNAL) of March/28,/2023
• what: For on/off medication, all four models showed significant positive correlation with the clinical ratings for some, but not all, of the subjects (S7 Table-S9 Table). In future Challenges, the . . .
  

   

  

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