Latent variable modeling improves AKI risk factor identification and AKI prediction compared to traditional methods

BACKGROUND: Acute kidney injury (AKI) is diagnosed based on postoperative serum creatinine change, but AKI models have not consistently performed well, in part due to the omission of clinically important but practically unmeasurable variables that affect creatinine. We hypothesized that a latent var...

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Udgivet i:BMC Nephrol
Main Authors: Smith, Loren E., Smith, Derek K., Blume, Jeffrey D., Siew, Edward D., Billings, Frederic T.
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2017
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5299779/
https://ncbi.nlm.nih.gov/pubmed/28178929
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12882-017-0465-1
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