Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study

BACKGROUND: Community-acquired acute kidney injury (CA-AKI)-associated hospitalizations impose significant health care needs and contribute to in-hospital mortality. However, most risk prediction models developed to date have focused on AKI in a specific group of patients during hospitalization, and...

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Detalles Bibliográficos
Autores principales: Hsu, Chien-Ning, Liu, Chien-Liang, Tain, You-Lin, Kuo, Chin-Yu, Lin, Yun-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435690/
https://www.ncbi.nlm.nih.gov/pubmed/32749223
http://dx.doi.org/10.2196/16903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435690/
https://www.ncbi.nlm.nih.gov/pubmed/32749223
http://dx.doi.org/10.2196/16903

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