Cargando…
Multi‐dimensional predictions of psychotic symptoms via machine learning
The diagnostic criteria for schizophrenia comprise a diverse range of heterogeneous symptoms. As a result, individuals each present a distinct set of symptoms despite having the same overall diagnosis. Whilst previous machine learning studies have primarily focused on dichotomous patient‐control cla...
Autores principales: | Taylor, Jeremy A., Larsen, Kit M., Garrido, Marta I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670649/ https://www.ncbi.nlm.nih.gov/pubmed/32870535 http://dx.doi.org/10.1002/hbm.25181 |
Ejemplares similares
-
A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder
por: Kim, Kiwon, et al.
Publicado: (2022) -
Using dimensionality-reduction techniques to understand the organization of psychotic symptoms in persistent psychotic illness and first episode psychosis
por: Fleming, Leah M., et al.
Publicado: (2023) -
Psychotic symptoms in acromegaly
por: Pinto, Denzil, et al.
Publicado: (2005) -
Venlafaxine-induced psychotic symptoms
por: Safeekh, A. T., et al.
Publicado: (2009) -
Psychotic and schizotypal symptoms in non-psychotic patients with obsessive-compulsive disorder
por: Solem, Stian, et al.
Publicado: (2015)