Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity-Reference-Cited by-同舟云学术

Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity

Published:2018-07-01 Issue:7 Volume:75 Page:876
ISSN:2168-6149
Container-title:JAMA Neurology
language:en
Short-container-title:JAMA Neurol

Author:

Zhan Andong¹,Mohan Srihari¹,Tarolli Christopher²³,Schneider Ruth B.²,Adams Jamie L.²³,Sharma Saloni³,Elson Molly J.³,Spear Kelsey L.³,Glidden Alistair M.³,Little Max A.⁴,Terzis Andreas¹,Dorsey E. Ray²³,Saria Suchi¹⁵⁶

Affiliation:

1. Department of Computer Science, Johns Hopkins University, Baltimore, Maryland

2. Department of Neurology, University of Rochester Medical Center, Rochester, New York

3. Center for Health + Technology, University of Rochester Medical Center, Rochester, New York

4. Department of Mathematics, Aston University, Birmingham, England

5. Armstrong Institute for Patient Safety and Quality, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland

6. Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland

Publisher

American Medical Association (AMA)

Subject

Clinical Neurology

Reference17 articles.

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2. Novel methods and technologies for 21st-century clinical trials: a review.;Dorsey;JAMA Neurol,2015

3. A randomized clinical trial of high-dosage coenzyme Q10 in early Parkinson disease: no evidence of benefit.;Beal;JAMA Neurol,2014

4. Detecting and monitoring the symptoms of Parkinson’s disease using smartphones: a pilot study.;Arora;Parkinsonism Relat Disord,2015

5. Technology in Parkinson’s disease: challenges and opportunities.;Espay;Mov Disord,2016

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