PDKit: A data science toolkit for the digital assessment of Parkinson's Disease.

ABSTRACT: PDkit is an open source software toolkit supporting the collaborative development of novel methods of digital assessment for Parkinson's Disease, using symptom measurements captured continuously by wearables (passive monitoring) or by high-use-frequency smartphone apps (active monitoring). The goal of the toolkit is to help address the current lack of algorithmic and model transparency in this area by facilitating open sharing of standardised methods that allow the comparison of results across multiple centres and hardware variations. PDkit adopts the information-processing pipeline abstraction incorporating stages for data ingestion, quality of information augmentation, feature extraction, biomarker estimation and finally, scoring using standard clinical scales. Additionally, a dataflow p

SUBMITTER: Stamate C 

PROVIDER: S-EPMC7990207 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature