Development and validation of a deep learning model to screen hypokalemia from electrocardiogram in emergency patientsOACSCD

作者：Chen-Xi Wang;Qi Chen;Yi-Chu Zhang;Qi-Lin Kong;Zu-Xiang Wu;Ping-Ping Yang;Cai-Hua Zhu;Shou-Lin Chen;Tao Wu;Qing-Hua Wu

作者单位：Department of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Anesthesiology,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,ChinaDepartment of Cardiovascular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang University School of Medicine,Nanchang,Jiangxi 330006,China

中文关键词：Deep learningHypokalemiaElectrocardiogramArtificial intelligence

英文关键词：Deep learningHypokalemiaElectrocardiogramArtificial intelligence

刊名：《中华医学杂志（英文版）》 2021 (19)

页码/页数：2333-2339,7

基金：This work was supported by the National Natural Science Foundation of China (No.81360025).

DOI：10.1097/CM9.0000000000001650