2416: A machine learning pipeline to predict acute kidney injury (AKI) in patients without AKI in their most recent hospitalization

OBJECTIVES/SPECIFIC AIMS: Our objective was to develop and evaluate a machine learning pipeline that uses electronic health record (EHR) data to predict acute kidney injury (AKI) during rehospitalization for patients who did not have an AKI episode in their most recent hospitalization. METHODS/STUDY...

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Detalles Bibliográficos
Autores principales: Weisenthal, Samuel, Weisenthal, Samuel J., Quill, Caroline, Luo, Jiebo, Kautz, Henry, Farooq, Samir, Zand, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2018
Materias:
Biomedical Informatics/Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798697/
http://dx.doi.org/10.1017/cts.2017.75

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