Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment

IMPORTANCE: Anticipating the risk of gastrointestinal bleeding (GIB) when initiating antithrombotic treatment (oral antiplatelets or anticoagulants) is limited by existing risk prediction models. Machine learning algorithms may result in superior predictive models to aid in clinical decision-making....

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Detalles Bibliográficos
Autores principales: Herrin, Jeph, Abraham, Neena S., Yao, Xiaoxi, Noseworthy, Peter A., Inselman, Jonathan, Shah, Nilay D., Ngufor, Che
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140376/
https://www.ncbi.nlm.nih.gov/pubmed/34019087
http://dx.doi.org/10.1001/jamanetworkopen.2021.10703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140376/
https://www.ncbi.nlm.nih.gov/pubmed/34019087
http://dx.doi.org/10.1001/jamanetworkopen.2021.10703

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