Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health Records

Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health Records

Acute kidney injury (AKI) is a common complication in hospitalized patients and can result in increased hospital stay, health-related costs, mortality and morbidity. A number of recent studies have shown that AKI is predictable and avoidable if early risk factors can be identified by analyzing Elect...

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Bibliographic Details
Main Authors:	Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg, Eric McArthur
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Information
Subjects:	acute kidney injury electronic health records data mining automated analysis imbalanced data prediction models
Online Access:	https://www.mdpi.com/2078-2489/11/8/386

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