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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Détails bibliographiques
Publié dans:JAMA Netw Open
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: American Medical Association 2019
Sujets:
Original Investigation
Accès en ligne: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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