A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury
Nam-Jun Cho,
Inyong Jeong,
Yeongmin Kim
et al.
Abstract:Background: Acute kidney injury (AKI) is a significant challenge in healthcare. While there are considerable researches dedicated to AKI patients, a crucial factor in their renal function recovery, is often overlooked. Thus, our study aims to address this issue through the development of a machine learning model to predict restoration of kidney function in patients with AKI. Methods: Our study encompassed data from 350,345 cases, derived from three hospitals. AKI was classified in accordance with the Kidney Di… Show more
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