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Literature DB >> 36253026

Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.

Eric R Gottlieb¹, Mathew Samuel², Joseph V Bonventre³, Leo A Celi⁴, Heather Mattie⁵.

Abstract

Machine learning is the field of artificial intelligence in which computers are trained to make predictions or to identify patterns in data through complex mathematical algorithms. It has great potential in critical care to predict outcomes, such as acute kidney injury, and can be used for prognosis and to suggest management strategies. Machine learning can also be used as a research tool to advance our clinical and biochemical understanding of acute kidney injury. In this review, we introduce basic concepts in machine learning and review recent research in each of these domains.

Entities: Chemical

Keywords: AKI prediction; Algorithms; Artificial intelligence; ICU Nephrology; Machine learning

Mesh：

Year: 2022 PMID： 36253026 PMCID： PMC9586459 DOI： 10.1053/j.ackd.2022.06.005

Source DB: PubMed Journal: Adv Chronic Kidney Dis ISSN： 1548-5595 Impact factor: 4.305

Keyword Cloud
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Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.

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