Abstract
We are working on the development of the reporting system that can present input support information by extracting medical knowledge from a past report, and using this.
In this system, first of all, the existing, natural sentence interpretation of radiogram report is structurized because of the natural language processing. Next, the candidate word is presented as input support information according to the part and the modality by using the statistical information of the structurized data. And, the user makes the interpretation of radiogram report by selecting the presented candidate word.
As structurizing processing used for this system, We examined the realizability of highly accurate structurizing processing by the technique of applying the algorithm that was called “Support Vector Machine (SVM)” in the natural sentence resolved to the morpheme, and giving the word the attribute.
In this thesis, details of the technology that extracts “Medical knowledge” such as “Part” and “Opinion” by first using this “SVM” from a past report and the experiment result of it are described. Next, the proposal of the technique that uses “Paraphrase” to improve the extraction accuracy of “Medical knowledge” and the experiment result of it are described.
