Cargando…
Population modeling with machine learning can enhance measures of mental health
BACKGROUND: Biological aging is revealed by physical measures, e.g., DNA probes or brain scans. In contrast, individual differences in mental function are explained by psychological constructs, e.g., intelligence or neuroticism. These constructs are typically assessed by tailored neuropsychological...
Autores principales: | Dadi, Kamalaker, Varoquaux, Gaël, Houenou, Josselin, Bzdok, Danilo, Thirion, Bertrand, Engemann, Denis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559220/ https://www.ncbi.nlm.nih.gov/pubmed/34651172 http://dx.doi.org/10.1093/gigascience/giab071 |
Ejemplares similares
-
Inference and Prediction Diverge in Biomedicine
por: Bzdok, Danilo, et al.
Publicado: (2020) -
Formal Models of the Network Co-occurrence Underlying Mental Operations
por: Bzdok, Danilo, et al.
Publicado: (2016) -
How machine learning is shaping cognitive neuroimaging
por: Varoquaux, Gael, et al.
Publicado: (2014) -
Patterns of autism symptoms: hidden structure in the ADOS and ADI-R instruments
por: Lefort-Besnard, Jérémy, et al.
Publicado: (2020) -
Atlases of cognition with large-scale human brain mapping
por: Varoquaux, Gaël, et al.
Publicado: (2018)