Population stratification for prediction of mortality in post-AKI patients

• URL: http://arxiv.org/abs/2410.17865v1
• Date: Wed, 23 Oct 2024 13:36:23 GMT
• Title: Population stratification for prediction of mortality in post-AKI patients
• Authors: Flavio S. Correa da Silva, Simon Sawhney,
• Abstract summary: Acute kidney injury (AKI) is a serious clinical condition that affects up to 20% of hospitalised patients. Patient risk and healthcare expenditures can be minimised by followup planning grounded on predictive models and machine learning.
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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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