Application of Random Forest Algorithm in Automatic Monitoring of Sterilization Effect of Endoscopic Instruments
Endoscopic instruments have special structure,and the cleaning and disinfection effect is not easy to complete.In or-der 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 meth-ods,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 er-ror 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.
random forest algorithmendoscopic instrumentssterilization effectautomatic monitoring
万方数据
维普
