Deep Learning–Based Prediction Modeling of Major Adverse Cardiovascular Events After Liver Transplantation

Deep Learning–Based Prediction Modeling of Major Adverse Cardiovascular Events After Liver Transplantation

Objective: To validate deep learning models’ ability to predict post-transplantation major adverse cardiovascular events (MACE) in patients undergoing liver transplantation (LT). Patients and Methods: We used data from Optum’s de-identified Clinformatics Data Mart Database to identify liver transpla...

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Bibliographic Details
Main Authors: Ahmed Abdelhameed, PhD, Harpreet Bhangu, MD, Jingna Feng, MS, Fang Li, PhD, Xinyue Hu, MS, Parag Patel, MD, Liu Yang, MD, Cui Tao
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Mayo Clinic Proceedings: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2949761224000221

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http://www.sciencedirect.com/science/article/pii/S2949761224000221

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