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.
关键词
多核学习/电子病历/多视图聚类
Key words
multi-kernel learning/electronic health record/multi-view clustering
维普
万方数据