Clinical Document Clustering using Multi-view Non-Negative Matrix Factorization
نویسندگان
چکیده
Clinical document contains vital information like symptom names, medication names, age, gender and some demographical information. These information can be used for giving quick relief from a disease. In existing system, they had built a system for clustering symptom names and medication names using Multi-View Non-Negative Matrix Factorization. While considering the clinical documents the factors like age, gender and some demographical information become important. In this paper, we build a system for clustering the clinical documents based on age, gender and some demographical information in addition to symptom names and medication names using Multi-View Non-Negative Matrix Factorization. *Reviewed by ICETSET'16 organizing committee
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