Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning
Mirelman A, Frank M, Melamed M, Granovsky L, Nieuwboer A, Rochester L, Del Din S, Avanzino L, Pelosin E, Bloem B, Della Croce U, Cereatti A, Bonato P, Camicioli R, Ellis T, Hamilton J, Hass C, Almeida Q, Inbal M, Thaler A, Shirvan J, Cedarbaum J, Giladi N, Hausdorff J. Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning. Movement Disorders 2021, 36: 2144-2155. PMID: 33955603, DOI: 10.1002/mds.28631.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesGaitHumansMachine LearningParkinson DiseasePostural BalanceTime and Motion StudiesWalkingConceptsParkinson's diseaseDisease stageMid-stage Parkinson's diseaseAge-matched healthy controlsEarly Parkinson's diseaseHigh discriminatory valueBilateral anklesDisease progressionClinical trialsHealthy controlsDisease spectrumGait measuresSeverity stagesAdvanced stageTrunk sensorDisease severityStride timingStudy participantsDiscriminatory valueObjective monitoringMobility measuresDiseaseCohort selectionMean sensitivity