Developing Better Digital Health Measures of Parkinson’s Disease Using Free Living Data and a Crowdsourced Data Analysis Challenge

SK Sieberts; H Borzymowski; Y Guan; Y Huang; Izhar Bar-Gad

doi:10.1101/2021.10.20.21265298.abstract

Developing Better Digital Health Measures of Parkinson’s Disease Using Free Living Data and a Crowdsourced Data Analysis Challenge

SK Sieberts, H Borzymowski, Y Guan, Y Huang, Izhar Bar-Gad

The Leslie and Susan Gonda Multidisciplinary Brain Research Center

Research output: Working paper / Preprint › Preprint

Abstract

One of the promising opportunities of digital health is its potential to lead to more holistic understandings of diseases by interacting with the daily life of patients and through the collection of large amounts of real world data. Validating and benchmarking indicators of …

Original language	American English
DOIs	https://doi.org/10.1101/2021.10.20.21265298.abstract
State	Published - 2021

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Name	medRxiv
Publisher	medrxiv.org

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M1 - Query date: 2022-01-18 11:07:42
25 authors

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10.1101/2021.10.20.21265298.abstract

https://www.medrxiv.org/content/10.1101/2021.10.20.21265298.full.pdf

Cite this

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Developing Better Digital Health Measures of Parkinson’s Disease Using Free Living Data and a Crowdsourced Data Analysis Challenge

Abstract

Publication series

Bibliographical note

Access to Document

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Cite this