원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.9 No.2
2015.02
pp.13-22
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
For patient information identification, demographic fields (name and address), and medical information (medical history) are compared in order to measure the similarities. The improvement of algorithm related to Koreans’ Hangul name is necessary in the individual distinguishing part in order to introduce MPI system matching Korea. Since Hangul is a type of combination, we cannot match the names more exactly by the one-dimensional distance comparative function which was used in existing English. This paper suggests the algorithm for the Korean name comparison.
목차
Abstract
1. Introduction
2. Related Work
3. Our Approach
3.1 Normalization of the Input Data
3.2 Separation of Input Strings
3.3 Rules Based on the Phonetic Characteristics of the Korean Alphabet
3.4 Rules of Korean Alphabet Character and Speech Similarity
3.5 Rules Based on the Statistics on Korean Names
3.6 Simulation Methods for the Calculation of the Final Point
4. Experiment
5. Result
Acknowledgement
References
1. Introduction
2. Related Work
3. Our Approach
3.1 Normalization of the Input Data
3.2 Separation of Input Strings
3.3 Rules Based on the Phonetic Characteristics of the Korean Alphabet
3.4 Rules of Korean Alphabet Character and Speech Similarity
3.5 Rules Based on the Statistics on Korean Names
3.6 Simulation Methods for the Calculation of the Final Point
4. Experiment
5. Result
Acknowledgement
References
키워드
저자정보
참고문헌
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