Machine Learning to Predict Acute Kidney Injury
- PMID: 31677894
- PMCID: PMC7735021
- DOI: 10.1053/j.ajkd.2019.08.010
Machine Learning to Predict Acute Kidney Injury
Conflict of interest statement
Financial Disclosure: The author declares that he has no relevant financial interests.
Comment on
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A clinically applicable approach to continuous prediction of future acute kidney injury.Nature. 2019 Aug;572(7767):116-119. doi: 10.1038/s41586-019-1390-1. Epub 2019 Jul 31. Nature. 2019. PMID: 31367026 Free PMC article.
References
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- Parkins D The world’s most valuable resource is no longer oil, but data. Economist. 2017.
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- Koyner JL, Carey KA, Edelson DP, Churpek MM. The development of a machine learning inpatient acute kidney injury prediction model. Crit Care Med. 2018;46(7):1070–1077. - PubMed
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