DeepECG-Kidney: A Deep Learning Model for Non-Invasive Detection of Impaired Kidney Function Using Electrocardiography

 

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DeepECG-Kidney: A Deep Learning Model for Non-Invasive Detection of Impaired Kidney Function Using Electrocardiography

Please follow the instructions below to input your abstract title.

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Jung Nam
An
Jung Nam An lovingjn@gmail.com Hallym University Sacred Heart Hospital Internal Medicine Anyang-si, Gyeonggi-do Korea (Republic of) *
Yeongyeon Na yeongyeon.na@vuno.co VUNO Inc. VUNO Inc. Seoul Korea (Republic of) -
Hyun Jin Ahn hyunjin.ahn@vuno.co VUNO Inc. VUNO Inc. Seoul Korea (Republic of) -
HYUNWOO PARK andyr2d2@hallym.or.kr Hallym University Sacred Heart Hospital Internal Medicine Anyang-si, Gyeonggi-do Korea (Republic of) -
Sunghoon Joo sunghoon.joo@vuno.co VUNO Inc. VUNO Inc. Seoul Korea (Republic of) -
Mineok Chang mineok.chang@vuno.co VUNO Inc. VUNO Inc. Seoul Korea (Republic of) -
Do Hyoung Kim dhkim6489@gmail.com Hallym University Kangnam Sacred Heart Hospital Internal Medicine Seoul Korea (Republic of) -
Minje Park minje.park@vuno.co VUNO Inc. VUNO Inc. Seoul Korea (Republic of) -
Dong Geum Shin blau07@hallym.or.kr Hallym University Kangnam Sacred Heart Hospital Internal Medicine Seoul Korea (Republic of) -
Yeha Lee yeha.lee@vuno.co VUNO Inc. VUNO Inc. Seoul Korea (Republic of) -
Sung Gyun Kim imnksk@gmail.com Hallym University Sacred Heart Hospital Internal Medicine Anyang-si, Gyeonggi-do Korea (Republic of) -
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