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Implementation of xgboost for classification of parkinson's disease

Implementation of xgboost for classification of parkinson's disease

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2557281927

Implementation of xgboost for classification of parkinson's disease

About this item

Full title

Implementation of xgboost for classification of parkinson's disease

Author / Creator

Publisher

Bristol: IOP Publishing

Journal title

Journal of physics. Conference series, 2020-05, Vol.1538 (1), p.12024

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

Parkinson's Disease (PD) is an advanced neurodegenerative illness. It is about 90% of PD sufferer shows speech disorders in the initial stages. Hence, in this research, speech features were applied to classify this illness. The most famous speech features used in PD research are jitter, shimmer, fundamental frequency parameters, harmonicity paramet...

Alternative Titles

Full title

Implementation of xgboost for classification of parkinson's disease

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2557281927

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2557281927

Other Identifiers

ISSN

1742-6588

E-ISSN

1742-6596

DOI

10.1088/1742-6596/1538/1/012024

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