Machine learning methods to predict outcomes of pharmacological treatment in psychosis
Machine learning methods to predict outcomes of pharmacological treatment in psychosis
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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In recent years, machine learning (ML) has been a promising approach in the research of treatment outcome prediction in psychosis. In this study, we reviewed ML studies using different neuroimaging, neurophysiological, genetic, and clinical features to predict antipsychotic treatment outcomes in patients at different stages of schizophrenia. Litera...
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Machine learning methods to predict outcomes of pharmacological treatment in psychosis
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TN_cdi_doaj_primary_oai_doaj_org_article_5acdb9b781804d41a4f7d9e35f6ef3ce
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5acdb9b781804d41a4f7d9e35f6ef3ce
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ISSN
2158-3188
E-ISSN
2158-3188
DOI
10.1038/s41398-023-02371-z
