Predicting 30-Day Readmission Risks in Breast Cancer Patients: An Explainable Machine Learning Approach

Hospital readmission within 30 days remains a significant challenge in oncology practice, contributing to higher healthcare costs, treatment delays, and poorer patient outcomes. Existing predictive models for breast cancer readmission are often limited by inadequate interpretability and generalisabi...

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Hlavní autoři:	Mlondolozi Mqadi, Elliot Mbunge, Tebogo Makaba
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-03-01
Edice:	Applied Sciences
Témata:	explainable machine learning breast cancer predictive modelling readmissions SHAP healthcare analytics
On-line přístup:	https://www.mdpi.com/2076-3417/16/5/2467
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