High-accuracy detection of early Parkinson’s Disease using multiple characteristics of finger movement while typing

PLoS ONE

Volumn 12, Issue 11, 2017, Pages

  Adams, Warwick R ^a  

^a CHARLES STURT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; CLASSIFICATION; CLINICAL SUPERVISION; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE SEVERITY; EARLY DIAGNOSIS; EARLY PARKINSON DISEASE; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FINGER; HAND MOVEMENT; HEALTH STATUS; HUMAN; HUMAN COMPUTER INTERACTION; MACHINE LEARNING; MAJOR CLINICAL STUDY; PARKINSON DISEASE; RELIABILITY; SENSITIVITY AND SPECIFICITY; SKILL; SYMPTOMATOLOGY; TYPING; WORK EXPERIENCE; COMPUTER INTERFACE; METABOLISM; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY;

BIOLOGICAL MARKER;

BIOMARKERS; FINGERS; HUMANS; MACHINE LEARNING; MOVEMENT; PARKINSON DISEASE; USER-COMPUTER INTERFACE;

EID: 85036497352     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0188226     Document Type: Article

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