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Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using...

Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c0513d0a88494cd78fedc33d771d5619

Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using EEG and MRI Data

About this item

Full title

Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using EEG and MRI Data

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2024-05, Vol.14 (9), p.3883

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Parkinson’s disease (PD) is a slowly progressing neurological disorder with symptoms that overlap with those of other conditions, making early detection and accurate diagnosis vital for effective treatment and a patient’s quality of life. Symptoms such as tremors, stiffness, slow movements, and balance issues, along with psychiatric manifestations,...

Alternative Titles

Full title

Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using EEG and MRI Data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c0513d0a88494cd78fedc33d771d5619

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c0513d0a88494cd78fedc33d771d5619

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app14093883

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