Application of CRF Mechanism Combined with LDA in the Structured System of Medical Record Documents
In order to improve the accuracy of structured classification of medical records,the conditional random field(CRF)semi supervised dictionary segmentation algorithm and the implicit Dirichlet distribution(LDA)medical records text classifica-tion algorithm ard used to build a post structured system of medical records based on CRF mechanism and LDA.The results show that:when the number of topics is 40,the minimum perplexity of LDA topic modeling is-6.97,and compared with the initial perplexity,the perplexity of LDA topic modeling decreases by 9.76％.When the number of topics is 3,the minimum consistency value obtained is 0.361;when the number of topics is 40,the maximum consistency value obtained is 0.442,and compared with the minimum value,the increase in LDA topic modeling consistency value is 22.44％.In summary,it can be seen that the CRF mechanism combined with LDA's structured medical record system has good application effects.
conditional random fieldsemi supervised dictionaryimplicit Dirichlet distributionmedical record documenttext classification
万方数据
维普
