Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity : The Mobile Parkinson Disease Score
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 48599506
- Type
- D - Journal article
- DOI
-
10.1001/jamaneurol.2018.0809
- Title of journal
- JAMA neurology
- Article number
- -
- First page
- 876
- Volume
- 75
- Issue
- 7
- ISSN
- 2168-6149
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 4 - Psychology, Psychiatry and Neuroscience
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
12
- Research group(s)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 81
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We report a new Parkinson’s disease rating scale which uses objective sensor measures of patients’ motor capabilities that is now being tested on a large scale at various neurology departments world wide including Johns Hopkins University Hospital, Radboudumc, Oxford Parkinson’s disease centre and others. The new score is been considered by Critical Paths Institute as an additional measure in the evaluation of clinical trials for Parkinson’s disease. This work has influenced the US Food and Drug Administration's recent decision to shift the focus of Parkinson’s clinical trials from the previously used subjective assessment scale to more complex meta-data evaluation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
