Research and application of multi-view clustering of electronic health records based on multi-kernel learning
The analysis and application of electronic medical records is a hot topic in the field of smart healthcare.A multi view clustering model for electronic medical records based on multi kernel learning is proposed.The model utilizes multi kernel learning to mine nonlinear and high-order correlation information of electronic medical records,and spectral clustering to fuse the kernel matrix(similarity matrix)for clustering research.The clustering results of the multi view data space are obtained.The ex-perimental results show that this method can quickly and accurately cluster information in electronic medical records,and is supe-rior to other methods in terms of performance indicators.
multi-kernel learningelectronic health recordmulti-view clustering
万方数据
维普
