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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| 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 |