Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms
Abstract 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 solu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2023-05-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-023-02177-5 |