Eric R. Gottlieb , Mathew Samuel , Joseph V. Bonventre , Leo A. Celi , Heather Mattie
{"title":"Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit","authors":"Eric R. Gottlieb , Mathew Samuel , Joseph V. Bonventre , Leo A. Celi , Heather Mattie","doi":"10.1053/j.ackd.2022.06.005","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":7221,"journal":{"name":"Advances in chronic kidney disease","volume":"29 5","pages":"Pages 431-438"},"PeriodicalIF":2.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in chronic kidney disease","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1548559522001161","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 5
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.
期刊介绍:
The purpose of Advances Chronic Kidney Disease is to provide in-depth, scholarly review articles about the care and management of persons with early kidney disease and kidney failure, as well as those at risk for kidney disease. Emphasis is on articles related to the early identification of kidney disease; prevention or delay in progression of kidney disease