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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....
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Science Publisher B. V
2022
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| Materias: | |
| 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 |