title: Classification and visualization tool for gait analysis of Parkinson's disease.
abstract: There is no standard diagnostic test for Parkinson's Disease. In this paper, we propose a data mining based statistical diagnostic method towards a standard and accurate diagnostic test. The result shows the proposed regression formula, which only requires patient's stride data, can provide a 90% accuracy to diagnose PD patients.
authors.forename: U Kit
authors.initials: UK
authors.lastname: Pun
authors.lastname: Huanying Gu
authors.lastname: Ziqian Dong
authors.forename: N Sertac
authors.initials: NS
authors.lastname: Artan
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016022:Case-Control Studies; D057225:Data Mining; D005260:Female; D005684:Gait; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D010300:Parkinson Disease / Q000000981:diagnostic imaging*; D012044:Regression Analysis; D015203:Reproducibility of Results; D013223:Statistics as Topic; D055815:Young Adult