Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury
Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records. We used the Medical Information Mart for Intensive Care III database, which consists of electr...
Gespeichert in:
Veröffentlicht in: | Clinical journal of the American Society of Nephrology 2020-11, Vol.15 (11), p.1557-1565 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Schreiben Sie den ersten Kommentar!