Population stratification for prediction of mortality in post-AKI patients

Flavio S. Correa da Silva; Simon Sawhney

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arXiv · 2410.17865

Population stratification for prediction of mortality in post-AKI patients

Flavio S. Correa da Silva·Simon Sawhney

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Abstract

Acute kidney injury (AKI) is a serious clinical condition that affects up to 20% of hospitalised patients. AKI is associated with short term unplanned hospital readmission and post-discharge mortality risk. Patient risk and healthcare expenditures can be minimised by followup planning grounded on predictive models and machine learning. Since AKI is multi-factorial, predictive models specialised in different categories of patients can increase accuracy of predictions. In the present article we present some results following this approach.

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Flavio S. Correa da Silva, Simon Sawhney. 2024-10-23. Population stratification for prediction of mortality in post-AKI patients. https://arxiv.org/abs/2410.17865

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