Authors : Aisha Al-Mustapha; Prema Kirubakaran; Dr. Ridwan Koladapo; Kosiso Precious Nwajiobi

Volume/Issue : Volume 11 - 2026, Issue 8 - August

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Google Scholar : https://tinyurl.com/3f3f4ep2

Scribd : https://tinyurl.com/5n8zjkjf

DOI : https://doi.org/10.38124/ijisrt/26aug080

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Abstract : Hospital readmission among geriatric patients is a critical indicator of healthcare quality, imposing significant burdens on both patients and healthcare systems. This study proposes an Extreme Gradient Boosting (XGBoost)-based predictive framework for identifying 30-day hospital readmission risk in patients aged 65 years and above.

Keywords : Hospital Readmission, Geriatric Patients, XGBoost, Machine Learning, Predictive Modelling, Class Imbalance, Discharge Destination, Electronic Health Records.

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