Big Data Research in Chronic Kidney Disease

作     者：Xiao-Xi Zeng Jing Liu Liang Ma Ping Fu Zeng Xiao-Xi;Liu Jing;Ma Liang;Fu Ping

作者机构：West China Biomedical Big Data CenterSichuan UniversityChengduSichuan 610041China Division of NephrologyWest China School of MedicineSichuan UniversityChengduSichuan 610041China Division of NephrologyKidney Research InstitutionWest China Hospital of Sichuan UniversityChengduSichuan 610041China 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2018年第131卷第22期

页      面：2647-2650页

核心收录：

学科分类：1002[医学-临床医学] 10[医学] 

基　　金：supported by grants from Science and Technology Department of Sichuan Province Chengdu Science and Technology Bureau 

主　　题：Chronic Kidney Disease Computational Biology Databse Machine Learning 

摘      要：With a worldwide estimated prevalence of 8–16%, chronic kidney disease (CKD) is a major noncommunicable disease:it substantially contributes to premature mortality and loss of disability?adjusted life years.The variety in terms of causes,progression mechanisms,and histopathological manifestations creates challenges for early diagnosis and