Nonlinear Machine Learning in Warfarin Dose Prediction: Insights from Contemporary Modelling Studies

Objective: This study aimed to systematically assess the characteristics and risk of bias of previous studies that have investigated nonlinear machine learning algorithms for warfarin dose prediction. Methods: We systematically searched PubMed, Embase, Cochrane Library, Chinese National Knowledge In...

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Detalles Bibliográficos
Autores principales: Zhang, Fengying, Liu, Yan, Ma, Weijie, Zhao, Shengming, Chen, Jin, Gu, Zhichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147332/
https://www.ncbi.nlm.nih.gov/pubmed/35629140
http://dx.doi.org/10.3390/jpm12050717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147332/
https://www.ncbi.nlm.nih.gov/pubmed/35629140
http://dx.doi.org/10.3390/jpm12050717

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