Keyword Extraction from Incident Reports and Keyword Map Generation Method Using Self Organizing Map

摘要

Recently, many hospital support systems such as Electrical Medical Record have been computerized using Information Technology. In near future, all of medical data will be stored to database server, and complete paper-less and film-less system in hospitals will become reality. These stored data, however, is not used effectively for analysis because of the great deal of data and its variety — image, numerical, text data and so on. Previously, knowledge discovery methods from numerical medical database were studied widely. Text mining method for medical data, however, has not been enough discussed. This study discusses knowledge discovery method from Electronic Medical Records using SOM and its possibility. As the first step of this research, this paper describes the outline of keyword extraction method using morphological analysis and generation of keyword map from Incident Report.