Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
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Title
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
Authors
Keywords
Machine learning, Forecasting, Preprocessing, Diabetes mellitus, Engineering and technology, Permutation, Kidneys, Coronary angioplasty
Journal
PLOS MEDICINE
Volume 15, Issue 11, Pages e1002703
Publisher
Public Library of Science (PLoS)
Online
2018-11-28
DOI
10.1371/journal.pmed.1002703
References
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