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An artificial neural network approach to detect presence and severity of Parkinson’s disease via gai...

An artificial neural network approach to detect presence and severity of Parkinson’s disease via gai...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2491602159

An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters

About this item

Full title

An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters

Publisher

United States: Public Library of Science

Journal title

PloS one, 2021-02, Vol.16 (2), p.e0244396-e0244396

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Gait deficits are debilitating in people with Parkinson's disease (PwPD), which inevitably deteriorate over time. Gait analysis is a valuable method to assess disease-specific gait patterns and their relationship with the clinical features and progression of the disease.
Our study aimed to i) develop an automated diagnostic algorithm based on ma...

Alternative Titles

Full title

An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2491602159

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2491602159

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0244396

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