摘要
维持性血液透析是终末期肾病患者维持生命的重要方式。血液透析的质量、安全及个体化透析是本领域一直面临的挑战。人工智能和机器学习提供的数据分析已广泛应用于在线监控系统及临床决策支持系统的研发,并在监控透析安全、评估透析疗效及个体化透析等方面取得突破性进展。
Maintenance hemodialysis is a vital treatment for patients with end-stage renal disease. The quality, safety and individualization of dialysis are constant challenges in this field. Data analysis provided by artificial intelligence and machine learning has been widely used in the development of online monitoring systems and clinical decision support systems, has gained breakthrough in monitoring dialysis safety, evaluating dialysis efficacy and individualized dialysis.
作者
张冬
龚德华
ZHANG Dong;GONG Dehua(National Clinical Research Center of Kidney Diseases,Jinling Hospital,Nanjing University School of Medicine,Nanjing 210016,China)
出处
《肾脏病与透析肾移植杂志》
CAS
CSCD
北大核心
2018年第4期383-386,共4页
Chinese Journal of Nephrology,Dialysis & Transplantation
基金
国家重点研发计划子课题(2017YFC1104404)
关键词
血液透析
人工智能
在线监控
决策支持
hemodialysis artificial
intelligence online
monitoring decision support