Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway

We perform classification, ranking and mapping of body sway parameters from static posturography data of patients using recent machine-learning and data-mining techniques. Body sway is measured in 293 individuals with the clinical diagnoses of acute unilateral vestibulopathy (AVS, n = 49), distal s...

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Vydané v:	Journal of neurology Ročník 266; číslo Suppl 1; s. 108 - 117
Hlavní autori:	Ahmadi, Seyed-Ahmad, Vivar, Gerome, Frei, Johann, Nowoshilow, Sergej, Bardins, Stanislav, Brandt, Thomas, Krafczyk, Siegbert
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2019 Springer Nature B.V
Predmet:	Adult Artificial intelligence Atrophy Cerebellum Classification Cohort Studies Data Mining - methods Data processing Diagnosis, Computer-Assisted - methods Embedding Female Humans Learning algorithms Machine Learning Male Mapping Medicine Medicine & Public Health Movement disorders Nervous System Diseases - diagnosis Nervous System Diseases - physiopathology Neurodegenerative diseases Neurological diseases Neurology Neuroradiology Neurosciences Nystagmus Original Communication Parkinson's disease Polyneuropathy Postural Balance - physiology Rubber Tremor Vertigo Visualization Static posturography Body sway Neurological stance and gait disorders Machine learning
ISSN:	0340-5354, 1432-1459, 1432-1459
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