Stable warfarin dose prediction in sub‐Saharan African patients: A machine‐learning approach and external validation of a clinical dose–initiation algorithm

Warfarin remains the most widely prescribed oral anticoagulant in sub‐Saharan Africa. However, because of its narrow therapeutic index, dosing can be challenging. We have therefore (a) evaluated and compared the performance of 21 machine‐learning techniques in predicting stable warfarin dose in sub‐...

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Detalles Bibliográficos
Autores principales: Asiimwe, Innocent G., Blockman, Marc, Cohen, Karen, Cupido, Clint, Hutchinson, Claire, Jacobson, Barry, Lamorde, Mohammed, Morgan, Jennie, Mouton, Johannes P., Nakagaayi, Doreen, Okello, Emmy, Schapkaitz, Elise, Sekaggya‐Wiltshire, Christine, Semakula, Jerome R., Waitt, Catriona, Zhang, Eunice J., Jorgensen, Andrea L., Pirmohamed, Munir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752108/
https://www.ncbi.nlm.nih.gov/pubmed/34889080
http://dx.doi.org/10.1002/psp4.12740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752108/
https://www.ncbi.nlm.nih.gov/pubmed/34889080
http://dx.doi.org/10.1002/psp4.12740

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