Machine Learning in the Parkinson's disease smartwatch (PADS) dataset.

ABSTRACT: The utilisation of smart devices, such as smartwatches and smartphones, in the field of movement disorders research has gained significant attention. However, the absence of a comprehensive dataset with movement data and clinical annotations, encompassing a wide range of movement disorders including Parkinson's disease (PD) and its differential diagnoses (DD), presents a significant gap. The availability of such a dataset is crucial for the development of reliable machine learning (ML) models on smart devices, enabling the detection of diseases and monitoring of treatment efficacy in a home-based setting. We conducted a three-year cross-sectional study at a large tertiary care hospital. A multi-modal smartphone app integrated electronic questionnaires and smartwatch measures during an inte

SUBMITTER: Varghese J 

PROVIDER: S-EPMC10770131 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature