Article
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.
Clinical journal of the American Society of Nephrology : CJASN - 6 Nov 2020
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
Abstract excerpt
BACKGROUND AND OBJECTIVES: 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. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We used the Medical Information Mart for Intensive Care III database, which consists of electronic health record data from intensive...
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