Agglomerative clustering-based drugs graded for the risk signals of drug-induced cognitive disorder: a study on the FAERS database
Background: Drug-induced cognitive disorder (DICD) is a harmful adverse event influenced by individual factors such as age, gender, and weight. These characteristics make regression models with drug selection, such as Lasso regression, more appropriate than disproportionality analysis for mining the...
Gardado en:
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SAGE Publishing
2026-04-01
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| Series: | Therapeutic Advances in Drug Safety |
| Acceso en liña: | https://doi.org/10.1177/20420986261438241 |
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