2022 Vol.5 Jun.No2

• Title: Logistic model-based prediction of postoperative infection in chronic refractory wounds
• Name: Changjuan Li1，Dongbin miao2，Hong Zhong3，Hongli Yan4,Lingling
• Company: (1.Emergency Surgery, Harbin fourth hospital, Harbin, Heilongjiang,150026, China; (2.Emergency Surgery, Harbin fourth hospital, Harbin, Heilongjiang,150026, China; (3.Nursing Department, Harbin fourth hospital, Harbin, Heilongjiang,150026, China; (4.Nephr
• Abstract:

  Chronic refractory trauma postoperative infection prediction method has the problem of low accuracy, so a logistic model based on chronic refractory trauma postoperative infection prediction method was designed. Based on the cell activation status, the characteristics of the formation mechanism of chronic refractory trauma were identified, the Gini values of the data set were calculated, the range of infection was predicted using the logistic model, and a postoperative infection prediction model was constructed to realize the design of the postoperative infection prediction method for chronic refractory trauma. Experimental results: The mean accuracy of the postoperative infection prediction method for chronic refractory trauma in the paper, compared with two other postoperative infection prediction methods for chronic refractory trauma, was 74.150%, 58.827% and 58.079% respectively, indicating that the method is more effective when used in combination with the logistic model.

  
  

• Keyword: Logistic model; chronic refractory wounds; postoperative infection; ulcers; bacterial biofilm; granulation neoplasia;
• DOI: 10.12250/jpciams2022090106
• Citation form: Changjuan Li.Logistic model-based prediction of postoperative infection in chronic refractory wounds [J]. Computer Informatization and Mechanical System,2022,Vol.5,pp.36-41

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