随机森林算法在腔镜器械灭菌效果自动监测中的应用  

Application of Random Forest Algorithm in Automatic Monitoring of Sterilization Effect of Endoscopic Instruments

作　　者：沈童 刘婷[1] 赵昕[1] 王冉 王林[1] SHEN Tong;LIU Ting;ZHAO Xin;WANG Ran;WANG Lin(Xuanwu Hospital of Capital Medical University,Beijing 100053,China)

机构地区：[1]首都医科大学宣武医院,北京100053

出　　处：《自动化与仪器仪表》2024年第1期247-251,共5页Automation & Instrumentation

基　　金：首都医科大学宣武医院院级课题(XWHL-2019010)。

摘　　要：腔镜器械构造特殊,容易留下残留病菌。为了能实时监测腔镜器械灭菌效果,通过RF算法建立相应的灭菌效果检测模型,通过ATP荧光检测等方法清洗腔镜器械,利用细菌培养法评价分类灭菌效果。利用RF算法提取样本数据特征,以及识别和监测灭菌效果。结果表明,运用RF算法的实验组监测误差、时间开销、ATP含量明显低于对照组,实验组监测误差低于0.20%。文章实现了腔镜器械灭菌效果的自动监测。Endoscopic instruments have special structure,and the cleaning and disinfection effect is not easy to complete.In order to monitor the sterilization effect of the endoscopic instruments in real time,this paper establishes the corresponding sterilization effect detection model through RF algorithm,cleans the endoscopic instruments through ATP fluorescence detection and other methods,and evaluates the classified sterilization effect by bacterial culture method.RF algorithm is used to extract sample data features,and identify and monitor sterilization effect.The results showed that the monitoring error,time cost,ATP content and postoperative infection rate of the experimental group using RF algorithm were significantly lower than those of the control group.The monitoring error of the experimental group was less than 0.20%,and the postoperative infection rate was as low as 0.00%.The article realizes the automatic monitoring of the sterilization effect of endoscopic instruments.

关 键 词：随机森林算法 腔镜器械 灭菌效果 自动监测 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]