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

Internet

https://www.mdpi.com/2078-2489/11/8/386

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