Neto_npjDigiMed_2019
syn22017530
Created By
Meghasyam Tummalacherla meghasyam
doi: 10.1038/s41746-019-0178-x
url: https://doi.org/10.1038/s41746-019-0178-x
ISSN: 2398-6352
PMID: 31633058
Year: 2019
Study: mPower Mobile Parkinson Disease Study
Title: Detecting the impact of subject characteristics on machine learning-based diagnostic applications
synID: syn4993293
Author: Neto EC Pratap A Perumal TM Tummalacherla M Snyder P Bot BM Trister AD Friend SH Mangravite L Omberg L
Journal: npj Digital Medicine
Abstract: syn22017530
Featured: TRUE
Diagnosis: Parkinson's disease control
Consortium: mHealth
sensorType: accelerometer gyroscope magnetometer touchscreen microphone
studyOrProject: [mPower Mobile Parkinson Disease Study](/Explore/Studies/DetailsPage?study=mPower%20Mobile%20Parkinson%20Disease%20Study)
publicationType: study
digitalAssessmentCategory: resting tremor kinetic tremor postural tremor action tremor gait voice
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