A TWO-STAGE DEEP LEARNING FRAMEWORK FOR EARLY PREDICTION OF ACUTE KIDNEY INJURY USING PRE-ADMISSION KIDNEY FUNCTION TRAJECTORIES IN ELECTIVE ADMISSIONS

 

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https://storage.unitedwebnetwork.com/files/1099/df0cccd5ee5df83bf3440ce8fd578a50.pdf
A TWO-STAGE DEEP LEARNING FRAMEWORK FOR EARLY PREDICTION OF ACUTE KIDNEY INJURY USING PRE-ADMISSION KIDNEY FUNCTION TRAJECTORIES IN ELECTIVE ADMISSIONS

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Yi-Chun
Chen
Yi-Chun Chen 102278@tool.caaumed.org.tw China Medical University Hospital Big Data Center Taichung Taiwan *
Yi-Ching Chang 037743@tool.caaumed.org.tw China Medical University Hospital Big Data Center Taichung Taiwan -
Yu-Ting Lin 033703@tool.caaumed.org.tw China Medical University Hospital Big Data Center Taichung Taiwan -
Hung-Chieh Yeh 015559@tool.caaumed.org.tw China Medical University Hospital Division of Nephrology, Department of Internal Medicine Taichung Taiwan -
I-Wen Ting 015558@tool.caaumed.org.tw China Medical University Hospital Division of Nephrology, Department of Internal Medicine Taichung Taiwan -
Hsiu-Yin Chiang 032031@tool.caaumed.org.tw China Medical University Hospital Big Data Center Taichung Taiwan -
Chin-Chi Kuo chinchik@gmail.com China Medical University Hospital Big Data Center, Division of Nephrology, Department of Internal Medicine Taichung Taiwan -
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