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A novel machine learning algorithm, Bayesian networks model, to predict the high‐risk patients with cardiac surgery‐associated acute kidney injury
BACKGROUND: Cardiac surgery‐associated acute kidney injury (CSA‐AKI) is a well‐recognized complication with an ominous outcome. HYPOTHESIS: Bayesian networks (BNs) not only can reveal the complex interrelationships between predictors and CSA‐AKI, but predict the individual risk of CSA‐AKI occurrence...
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| Pubblicato in: | Clin Cardiol |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley Periodicals, Inc.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7368305/ https://ncbi.nlm.nih.gov/pubmed/32400109 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/clc.23377 |
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