Cargando…
What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?
BACKGROUND: To deliver appropriate mental healthcare interventions and support, it is imperative to be able to distinguish one person from the other. The current classification of mental illness (e.g., DSM) is unable to do that well, indicating the problem of diagnostic heterogeneity between disorde...
Autores principales: | Ghosh, Chandril Chandan, McVicar, Duncan, Davidson, Gavin, Shannon, Ciaran, Armour, Cherie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233399/ https://www.ncbi.nlm.nih.gov/pubmed/35751077 http://dx.doi.org/10.1186/s12888-022-03984-2 |
Ejemplares similares
-
Exploring the associations between auditory hallucinations and psychopathological experiences in 10,933 patient narratives: moving beyond diagnostic categories and surveys
por: Ghosh, Chandril Chandan, et al.
Publicado: (2023) -
Measuring diagnostic heterogeneity using text-mining of the lived experiences of patients
por: Ghosh, Chandril Chandan, et al.
Publicado: (2021) -
A decennial review of psychotraumatology: what did we learn and where are we
going?
por: Olff, Miranda, et al.
Publicado: (2019) -
What we learned about the Higgs boson
por: Fiorini, Luca
Publicado: (2020) -
Neutrinos, what we have learned about them and what we have learned using them
por: Steinberger, J
Publicado: (2013)