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Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction
Alzheimer’s disease (AD) is the most common late-onset neurodegenerative disorder. Identifying individuals at increased risk of developing AD is important for early intervention. Using data from the Alzheimer Disease Genetics Consortium, we constructed polygenic risk scores (PRSs) for AD and age-at-...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829871/ https://www.ncbi.nlm.nih.gov/pubmed/36624143 http://dx.doi.org/10.1038/s41598-023-27551-1 |