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1. TCT-405 A Novel Machine Learning Algorithm Enhances Prediction of Target Lesion Failure: An Analysis of 4,983 Patients From the XIENCE V USA Database

Author

Divine E. Ediebah, Richard Rapoza, Krishna Sudhir, Jennifer Jones-McMeans, Nick E.J. West, Kusano Hajime, James B. Hermiller, Ciaran Byrne, and Jin Wang

Subjects
Target lesion, business.industry, Medicine, Artificial intelligence, Cardiology and Cardiovascular Medicine, business, Machine learning, computer.software_genre, computer
Published
2021
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