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Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients:...

Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients:...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d22ca389d35426297c37a89b4d42c4c

Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach

About this item

Full title

Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-03, Vol.12 (1), p.5455-5455, Article 5455

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

A considerable number of depressed patients do not respond to treatment. Accurate prediction of non-response to routine clinical care may help in treatment planning and improve results. A longitudinal sample of N = 239 depressed patients was assessed at admission to multi-modal day clinic treatment, after six weeks, and at discharge. First, patient...

Alternative Titles

Full title

Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2d22ca389d35426297c37a89b4d42c4c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d22ca389d35426297c37a89b4d42c4c

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-09226-5

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