Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms

BACKGROUND: Polypharmacy (PP) is increasingly common in Iran, and contributes to the substantial burden of drug-related morbidity, increasing the potential for drug interactions and potentially inappropriate medications. Machine learning algorithms (ML) can be employed as an alternative solution for...

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Detalles Bibliográficos
Autores principales: Seyedtabib, Maryam, Kamyari, Naser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161984/
https://www.ncbi.nlm.nih.gov/pubmed/37147615
http://dx.doi.org/10.1186/s12911-023-02177-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161984/
https://www.ncbi.nlm.nih.gov/pubmed/37147615
http://dx.doi.org/10.1186/s12911-023-02177-5

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