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...

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Veröffentlicht in:Clinical journal of the American Society of Nephrology 2020-11, Vol.15 (11), p.1557-1565
Hauptverfasser: Chaudhary, Kumardeep, Vaid, Akhil, Duffy, Áine, Paranjpe, Ishan, Jaladanki, Suraj, Paranjpe, Manish, Johnson, Kipp, Gokhale, Avantee, Pattharanitima, Pattharawin, Chauhan, Kinsuk, O'Hagan, Ross, Van Vleck, Tielman, Coca, Steven G, Cooper, Richard, Glicksberg, Benjamin, Bottinger, Erwin P, Chan, Lili, Nadkarni, Girish N
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Sprache:eng
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