Machine Learning for 1-Year Mortality Prediction in Lung Transplant Recipients: ISHLT Registry

Machine Learning for 1-Year Mortality Prediction in Lung Transplant Recipients: ISHLT Registry

Optimizing lung transplant candidate selection is crucial for maximizing resource efficiency and improving patient outcomes. Using data from the International Society for Heart and Lung Transplantation (ISHLT) registry (29,364 patients), we developed a deep learning model to predict 1-year survival...

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Bibliographic Details
Main Authors: Hye Ju Yeo, Dasom Noh, Eunjeong Son, Sunyoung Kwon, Woo Hyun Cho
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Transplant International
Subjects:
lung transplantation
mortality
machine learning
risk factors
prediction model
Online Access:https://www.frontierspartnerships.org/articles/10.3389/ti.2025.14121/full
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