Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network
BackgroundParkinson’s disease (PD) is an incurable neurological disease with approximately 0.3% prevalence. The hallmark symptom is gradual movement deterioration. Current scientific consensus about disease progression holds that symptoms will worsen smoothly over time unless...
Main Authors: | Little, Max, Wicks, Paul, Vaughan, Timothy, Pentland, Alex |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2013-01-01
|
Series: | Journal of Medical Internet Research |
Online Access: | http://www.jmir.org/2013/1/e20/ |
Similar Items
-
Quantifying Short-Term Dynamics of Parkinson's Disease Using Self-reported Symptom Data From an Internet Social Network
by: Little, Max, et al.
Published: (2019) -
Quantifying Parkinson's Disease Symptoms Using Mobile Devices
by: Aylward, Charles R
Published: (2016) -
A self-reported questionnaire for quantifying illness symptoms in elite athletes
by: Alexander Matthews, et al.
Published: (2010-03-01) -
Self-reported and experimentally induced self-disgust is heightened in Parkinson's disease: Contribution of behavioural symptoms.
by: Marianna Tsatali, et al.
Published: (2019-01-01) -
Short-term quality of life after subthalamic stimulation depends on non-motor symptoms in Parkinson's disease
by: Haidar Salimi Dafsari, et al.
Published: (2018-07-01)