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
키워드
Koreannamesimilarity
저자
Byung-Hui Jeong [ BRC Co., Ltd. 203-3 Songdo-dong, Yeonssu-gu, Incheon, Republic of Korea ]
Jin-Tak Choi [ Incheon University, 119 Academy-ro, Yeonsu-gu, Incheon, Republic of Korea ]
Dong-Kyun Park [ Gachon University Gil Medical Center, 1198 Guwol Dong, Namdong-gu, Incheon, Republic of Korea ]
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.9 No.2