Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI.

Qureshi, Muhammad Naveed Iqbal; Oh, Jooyoung; Min, Beomjun; Jo, Hang Joon; Lee, Boreom

Qureshi, Muhammad Naveed Iqbal; Oh, Jooyoung; Min, Beomjun; Jo, Hang Joon; Lee, Boreom.

Afiliação

Qureshi MNI; Department of Biomedical Science and Engineering, Institute of Integrated Technology, Gwangju Institute of Science and TechnologyGwangju, South Korea.
Oh J; Department of Biomedical Science and Engineering, Institute of Integrated Technology, Gwangju Institute of Science and TechnologyGwangju, South Korea.
Min B; Department of Neuropsychiatry, Seoul National University HospitalSeoul, South Korea.
Jo HJ; Department of Neurologic Surgery, Mayo ClinicRochester, MN, United States.
Lee B; Department of Biomedical Science and Engineering, Institute of Integrated Technology, Gwangju Institute of Science and TechnologyGwangju, South Korea.

Front Hum Neurosci ; 11: 292, 2017.

Article em En | MEDLINE | ID: mdl-28579953

RESUMO

[This corrects the article on p. 157 in vol. 11, PMID: 28420972.].

Palavras-chave

ADHD-200; ANOVA; extreme learning machine; global functional connectivity; hierarchical feature extraction; machine learning; neuroimaging; revised recursive feature elimination

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article