Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention

IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enhancing prediction. OBJECTIVE: To determine whether...

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Detalhes bibliográficos
Publicado no:JAMA Netw Open
Main Authors: Mortazavi, Bobak J., Bucholz, Emily M., Desai, Nihar R., Huang, Chenxi, Curtis, Jeptha P., Masoudi, Frederick A., Shaw, Richard E., Negahban, Sahand N., Krumholz, Harlan M.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2019
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6624806/
https://ncbi.nlm.nih.gov/pubmed/31290991
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.6835
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