摘要
To the Editor:Chronic kidney disease(CKD)is a global burden of the public health.The global prevalence of CKD exceeded 10%while the awareness was around 10%.[1]In the era of big data,improving the identification of CKD using informatic tools is important.Computable phenotype is proven as an efficient tool to facilitate the process of patient identification using electronic health record(EHR)data.
基金
National Natural Science Foundation of China(Nos.82100741,82003529,91846101,81771938,81900665,82090021)
Beijing Municipal Science and Technology Commission(Grant No.7212201)
the University of Michigan Health System-Peking University Health Science Center Joint Institute for Translational and Clinical Research(Nos.BMU2020JI011,BMU2019JI005,BMU2018JI012)
Beijing Nova Programme Interdisciplinary Cooperation Project(No.Z191100001119008)
National Key R&D Program of the Ministry of Science and Technology of China(No.2019YFC2005000)
the National Key Research and Development Program of China(No.2018AAA0102100)
PKU-Baidu Fund(Nos.2020BD005,2019BD017)
CAMS Innovation Fund for Medical Sciences(No.2019-I2M-5-046)
