The article uses machine learning algorithms to extract disease symptom keyword vectors. At the same time, we used deep learning technology to design a disease symptom classification model. We apply this model to an online disease consultation recommendation system. The system integrates machine learning algorithms and knowledge graph technology to help patients conduct online consultations. The system analyses the misclassification data of different departments through high-frequency word analysis. The study found that the accuracy rate of our machine learning algorithm model to identify entities in electronic medical records reached 96.29%. This type of model can effectively screen out the most important pathogenic features.
This paper proposed a SIP security communication mechanism base on SAKA algorithm, combined with the identity authentication and key negotiation. This paper illustrated the communication process design steps and the SIP mechanism, and theoretical analysis of the safety performance of the mechanism. Through the network simulation platform to simulate the efficiency of the proposed scheme and compare with other authentication mechanism.
The healthy development of the bond market is inseparable from the credit rating. In this paper, more than 1,000 samples of short-term financing bonds are chosen to set up a linear regression model for bond issuance pricing, which can be used to analyze the extent of the impact of credit rating on the cost of bond issuance. Model results show that the bond rating has significantly negative correlation with the issue spread. Therefore, it can be conclude that the rating results of Chinese bond rating agencies have significant influence in domestic bond market.
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