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Bayesian Data Assimilation to Support Informed Decision Making in Individualized Chemotherapy
An essential component of therapeutic drug/biomarker monitoring (TDM) is to combine patient data with prior knowledge for model‐based predictions of therapy outcomes. Current Bayesian forecasting tools typically rely only on the most probable model parameters (maximum a posteriori (MAP) estimate). T...
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| Опубликовано в: : | CPT Pharmacometrics Syst Pharmacol |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
John Wiley and Sons Inc.
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7080550/ https://ncbi.nlm.nih.gov/pubmed/31905420 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/psp4.12492 |
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