Machine learning for prediction of schizophrenia using genetic and demographic factors in the UK biobank

Machine learning (ML) holds promise for precision psychiatry, but its predictive performance is unclear. We assessed whether ML provided added value over logistic regression for prediction of schizophrenia, and compared models built using polygenic risk scores (PRS) or clinical/demographic factors....

Descripción completa

Detalles Bibliográficos
Autores principales: Bracher-Smith, Matthew, Rees, Elliott, Menzies, Georgina, Walters, James T.R., O'Donovan, Michael C., Owen, Michael J., Kirov, George, Escott-Price, Valentina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Publisher B. V 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399753/
https://www.ncbi.nlm.nih.gov/pubmed/35779327
http://dx.doi.org/10.1016/j.schres.2022.06.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399753/
https://www.ncbi.nlm.nih.gov/pubmed/35779327
http://dx.doi.org/10.1016/j.schres.2022.06.006

Ejemplares similares