Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)

Traditional diagnostic formulations of psychotic disorders have low correspondence with underlying disease neurobiology. This has led to a growing interest in using brain-based biomarkers to capture biologically-informed psychosis constructs. Building upon our prior work on the B-SNIP Psychosis Biot...

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Detalles Bibliográficos
Autores principales: Koen, Joshua D., Lewis, Leslie, Rugg, Michael D., Clementz, Brett A., Keshavan, Matcheri S., Pearlson, Godfrey D., Sweeney, John A., Tamminga, Carol A., Ivleva, Elena I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415369/
https://www.ncbi.nlm.nih.gov/pubmed/37563219
http://dx.doi.org/10.1038/s41598-023-38101-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415369/
https://www.ncbi.nlm.nih.gov/pubmed/37563219
http://dx.doi.org/10.1038/s41598-023-38101-0

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