Literature DB >> 31559832

Machine learning method for the management of acute kidney injury: more than just treating biomarkers individually.

Zhongheng Zhang1.   

Abstract

Entities:  

Keywords:  acute kidney injury; big data; biomarkers; critical care; machine learning; prediction

Mesh：

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Year:  2019        PMID： 31559832     DOI： 10.2217/bmm-2019-0363

Source DB:  PubMed          Journal:  Biomark Med        ISSN： 1752-0363            Impact factor:   2.851


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  2 in total

Review 1.  Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.

Authors:  Sihyung Park; Bong Soo Park; Yoo Jin Lee; Il Hwan Kim; Jin Han Park; Junghae Ko; Yang Wook Kim; Kang Min Park
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

2.  Application of Machine Learning Algorithms to Predict Acute Kidney Injury in Elderly Orthopedic Postoperative Patients.

Authors:  Qiuchong Chen; Yixue Zhang; Mengjun Zhang; Ziying Li; Jindong Liu
Journal:  Clin Interv Aging       Date:  2022-03-31       Impact factor: 4.458
  2 in total

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