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Rationale and performances of a data-driven method for computing the duration of pharmacological prescriptions using secondary data sources
The assessment of the duration of pharmacological prescriptions is an important phase in pharmacoepidemiologic studies aiming to investigate persistence, effectiveness or safety of treatments. The Sessa Empirical Estimator (SEE) is a new data-driven method which uses k-means algorithm for computing...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012860/ https://www.ncbi.nlm.nih.gov/pubmed/35428827 http://dx.doi.org/10.1038/s41598-022-10144-9 |