Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation

Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation

Abstract Background Hospital readmission following renal transplantation significantly impacts patient outcomes and healthcare resources. While machine learning approaches offer promising solutions for risk prediction, their clinical application often lacks interpretability. We developed an explaina...

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Main Authors: Nasser Alnazari, Omar Ibrahim Alanazi, Muath Owaidh Alosaimi, Ziyad Mohamed Alanazi, Ziyad Mohammed Alhajeri, Khaled Mohammed Alhussaini, Abdulkarim Mekhlif Alanazi, Ahmed Y. Azzam
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Nephrology
Subjects:
Renal transplantation
30-day readmission
Explainable artificial intelligence
Machine learning
Precision medicine
Online Access:https://doi.org/10.1186/s12882-025-04128-w
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https://doi.org/10.1186/s12882-025-04128-w

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