Development and validation of prediction model using nursing notes on sentiment scores for prognosis of patients with severe acute kidney injury receiving continuous renal replacement therapy based on computational intelligence algorithms

BACKGROUND: Currently, the prediction values of models for the prognosis of acute kidney injury (AKI) receiving continuous renal replacement therapy (CRRT) were ordinary and establishing a better prediction model is necessary. Nursing notes are an important predictor of in-hospital mortality in inte...

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Detalles Bibliográficos
Autores principales: Zha, Danfeng, Yang, Xionghao, Zhang, Haifen, Xu, Li, Jin, Yan, Li, Na, Yang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652558/
https://www.ncbi.nlm.nih.gov/pubmed/36388821
http://dx.doi.org/10.21037/atm-22-4403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652558/
https://www.ncbi.nlm.nih.gov/pubmed/36388821
http://dx.doi.org/10.21037/atm-22-4403

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