Log in to save to my catalogue

Multi-site benchmark classification of major depressive disorder using machine learning on cortical...

Multi-site benchmark classification of major depressive disorder using machine learning on cortical...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2677951802

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

About this item

Full title

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitat...

Alternative Titles

Full title

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2677951802

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2677951802

Other Identifiers

E-ISSN

2331-8422

How to access this item