XGBoost-based machine learning test improves the accuracy of hemorrhage prediction among geriatric patients with long-term administration of rivaroxaban

BACKGROUND: Hemorrhage is a potential and serious adverse drug reaction, especially for geriatric patients with long-term administration of rivaroxaban. It is essential to establish an effective model for predicting bleeding events, which could improve the safety of rivaroxaban use in clinical pract...

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Detalles Bibliográficos
Autores principales: Chen, Cheng, Yin, Chun, Wang, Yanhu, Zeng, Jing, Wang, Shuili, Bao, Yurong, Xu, Yixuan, Liu, Tongbo, Fan, Jiao, Liu, Xian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332061/
https://www.ncbi.nlm.nih.gov/pubmed/37430193
http://dx.doi.org/10.1186/s12877-023-04049-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332061/
https://www.ncbi.nlm.nih.gov/pubmed/37430193
http://dx.doi.org/10.1186/s12877-023-04049-z

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