现代科学仪器2023，Vol.40Issue(6)：200-205,6.
数据挖掘技术在预防冠脉搭桥术后并发症中的应用分析
Application of data mining technology in preventing complications after coronary artery bypass grafting
郑敏 1田塄一1
作者信息
- 1. 安徽医科大学附属直属六安医院心胸外科,安徽六安 237000
- 折叠
摘要
Abstract
Objective:To explore the value of data mining techniques in the prevention of post-coronary artery bypass grafting complications.Methods:A random sample of 120 patients treated with coronary artery bypass grafting was divided into a control group and an observation group,and the differences in the perioperative indicators between the two groups were examined.Results:The duration of ventilator use,intensive care intensive care unit stay,time out of bed activity and hospital stay were shorter in the observation group than in the control group(P<0.05);there was no statistical difference in anxiety score,depression score,blood flow index,respiratory circulation index and cardiac enzyme profile between the two groups before care(P>0.05),and all of them improved significantly after care compared with before care(P<0.05),and the observation group was better than the control group(P<0.05);the incidence of postoperative complications was lower in the observation group than in the control group(P<0.05).Conclusion:Anticipatory care based on data mining technology can help prevent the occurrence of post-coronary artery bypass grafting complications and can be clinically promoted.关键词
冠脉搭桥术/数据挖掘技术/预见性干预/术后并发症Key words
coronary artery bypass grafting/data mining technology/predictive inventing/postoperative complications引用本文复制引用
郑敏,田塄一..数据挖掘技术在预防冠脉搭桥术后并发症中的应用分析[J].现代科学仪器,2023,40(6):200-205,6.
