Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data.

Ho, Cyrus Sh; Chan, Y L; Tan, Trevor Wk; Tay, Gabrielle Wn; Tang, T B

Ho, Cyrus Sh; Chan, Y L; Tan, Trevor Wk; Tay, Gabrielle Wn; Tang, T B.

Afiliación

Ho CS; Department of Psychological Medicine, National University Health System, Singapore, Singapore; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. Electronic address: pcmhsh@nus.edu.sg.
Chan YL; Centre for Intelligent Signal and Imaging Research (CISR), Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.
Tan TW; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
Tay GW; Department of Psychological Medicine, National University Health System, Singapore, Singapore.
Tang TB; Centre for Intelligent Signal and Imaging Research (CISR), Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.

J Psychiatr Res ; 147: 194-202, 2022 03.

Article en En | MEDLINE | ID: mdl-35063738

Asunto(s)

Trastorno Depresivo Mayor; Adulto; Algoritmos; Trastorno Depresivo Mayor/diagnóstico; Humanos; Aprendizaje Automático; Curva ROC; Espectroscopía Infrarroja Corta/métodos

Palabras clave

Clinical symptoms; Diagnostic; Functional near-infrared spectroscopy; Machine learning; Major depressive disorder; Multimodal data fusion

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Humans Idioma: En Revista: J Psychiatr Res Año: 2022 Tipo del documento: Article

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