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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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Dades bibliogràfiques
Publicat a:JAMA Netw Open
Autors principals: Herrin, Jeph, Abraham, Neena S., Yao, Xiaoxi, Noseworthy, Peter A., Inselman, Jonathan, Shah, Nilay D., Ngufor, Che
Format: Artigo
Idioma:Inglês
Publicat: American Medical Association 2021
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8140376/
https://ncbi.nlm.nih.gov/pubmed/34019087
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2021.10703
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