Machine learning approaches for integrating clinical and imaging features in late‐life depression classification and response prediction

Publisher： John Wiley & Sons Inc

E-ISSN： 1099-1166|30|10|1056-1067

ISSN： 0885-6230

Source： INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Vol.30, Iss.10, 2015-10, pp. : 1056-1067

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Machine learning approaches for integrating clinical and imaging features in late‐life depression classification and response prediction

By  

INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Vol. 885-6230, Iss. 10, 2015-10 ,pp. : 1056-1067

John Wiley & Sons Inc

Access to resources Recommend Favorite

Cognitive functioning throughout the treatment history of clinical late‐life depression

By  

INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Vol. 885-6230, Iss. 10, 2015-10 ,pp. : 1076-1084

John Wiley & Sons Inc

Access to resources Recommend Favorite

Cognitive functioning throughout the treatment history of clinical late‐life depression

By  

INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Vol. 30, Iss. 10, 2015-10 ,pp. : 1076-1084

John Wiley & Sons Inc

Access to resources Recommend Favorite

Does the ECA Underestimate the Prevalence of Late‐Life Depression?

By  

JOURNAL OF AMERICAN GERIATRICS SOCIETY, Vol. 43, Iss. 1, 1995-01 ,pp. : 2-6

John Wiley & Sons Inc

Access to resources Recommend Favorite

Appetite loss and neurocognitive deficits in late‐life depression

By  

INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Vol. 30, Iss. 6, 2015-06 ,pp. : 647-654

John Wiley & Sons Inc

Access to resources Recommend Favorite