2020년 컴퓨터종합학술대회
Current Result Document :
| 한글제목(Korean Title) |
FHIR 기반의 지능 보조 진단 아키텍처 |
| 영문제목(English Title) |
Intelligent Auxiliary Diagnostic Architecture based on FHIR |
| 저자(Author) |
Yuxiang Sun
Jehyun Jung
Yongju Lee
순위샹
정제현
이용주
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| 원문수록처(Citation) |
VOL 47 NO. 01 PP. 0685 ~ 0687 (2020. 07) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In recent years, the rise of artificial intelligence has greatly promoted the development of medical field. This paper focuses on how to adopt machine learning techniques to improve the accuracy and efficiency of diagnosis. Meanwhile, in order to maximize the utilization of data, the Fast Healthcare Interoperability Resources (FHIR) data standard is adopted, and our intelligent auxiliary diagnostic system is semantic-based application. Compared with the current medical system, our system is more intelligent and can improve the diagnostic efficiency of doctors. |
| 키워드(Keyword) |
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| 파일첨부 |
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