摘要
提出以术后随访的常规无创检验结果数据为依据,机器学习算法为基础,对患者经皮冠状动脉介入治疗(Percutaneous Coronary Intervention,PCI)术后复发情况进行预警建模,详细阐述模型构建方法、实验评估及分析方法,并对结果进行分析。
Based on conventional follow-up non-invasive test results and machine learning algorithms,an early warning modeling of Percutaneous Coronary Intervention(PCI) postoperative recurrence is proposed.The model construction method,experimental evaluation and analytical method are expounded in detail,and the results are analyzed.
作者
王颖晶
倪连超
陈珊黎
邵维君
韩刚
丁粉华
郑涛
WANG Yingjing;NI Lianchao;CHEN Shanli;SHAO Weijun;HAN Gang;DING Fenhua;ZHENG Tao(InformationCenter,Renji Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai200127,China;Wonders InformationCo.Ltd.,Shanghai201112,China)
出处
《医学信息学杂志》
CAS
2022年第6期40-43,71,共5页
Journal of Medical Informatics
基金
上海市信息化发展专项资金项目“面向仁济医院医联体的专病临床科研智能辅助决策平台建设”(项目编号:201901007)。
关键词
经皮冠状动脉介入治疗术后复发
机器学习
随访数据
Percutaneous Coronary Intervention(PCI)postoperative recurrence
machine learning
follow-up data
