Research On Credibility Of Medical Information Based On Web Analysis Algorithm

Currently in the Information Age,the Internet and our lives are closely linked,however,events with serious consequences have occurred sometimes due to trust false online medical information.Therefore,to study the identification of fake online medical information and to provide credible online medical information to users is a pressing issue to be solved urgently.However,most of the evaluation indicators of network information depend on the expert knowledge at the present stage,which leads to the low flexibility and inefficient of the algorithm,so it is difficult to cope with the explosive growth of network information.Accordingly,by studying three evaluation indicators of online medical information,this paper realizes that part of the credibility evaluation indicators does not need to rely on expert knowledge,and improves the flexibility and efficiency of the algorithm.First,the Page Rank algorithm was improved in this paper to improve the recognition rate of false network information.Then,the evaluation index of webpage appearance was improved by further research,a method to quantify the appearance of webpage was proposed,and the neural network was used to extract the attribute of credibility evaluation automatically.Thus,the evaluation index of page appearance does not rely on the professional knowledge.Finally,an index to evaluate the credibility of network medical information was put forward based on the linguistic expression style.Experiments show that this index is feasible and effective.Through comparative analysis of the above three improvement indexes and other evaluation indexes,an evaluation system of network medical information credibility which is efficient and can meet the current demands was constructed.