과제정보
이 논문은 한국한의약진흥원을 통해 보건복지부의 지원을 받아 수행된 연구임.
참고문헌
- Lee IS, Cho HS, Ji GY, Lee YT, Kim JW, Jeon SH, Kim KM, Kim GC, Kim KK. A study for diagnostic correspondent rates between DSOM and korean medical doctors' diagnosis about menstrual pain. The Journal of Korean Obstetrics and Gynecology. 2015;28(3): 1-10. https://doi.org/10.15204/jkobgy.2015.28.3.001
- Choi SH. Development of web-based diagnosis expert system of traditional oriental medicine. Journal of Physiology & Pathology in Korean Medicine. 2002;16(3):528-31.
- Sung HK, Jung B, Kim KH, Sung SH, Park JK. Trends and future direction of the clinical decision support system in traditional Korean Medicine. Journal of pharmacopuncture. 2019;22(4):260-8. https://doi.org/10.3831/KPI.2019.22.035
- Wang S, Long S, Wu W. Access Application of Traditional Chinese Medicines as Personalized Therapy in Human Cancers. The American journal of Chinese medicine. 2018;46(05):953-70.
- Elf M, Flink M, Nilsson M, Tistad M, von Koch L, Ytterberg C. The case of value-based healthcare for people living with complex long-term conditions. BMC Health Services Research. 2017;17:1-6. https://doi.org/10.1186/s12913-016-1957-6
- Park KM, Park JH. A Methodology for Representation of Clinical Data in Oriental Medicine. Journal of Physiology & Pathology in Korean Medicine. 2002;16(5):845-50.
- Kim SK, Kim JH, Jang HC, Kim AN, Yea SJ, Kim C, Song MY. Reasoning and Learning Methods for Diagnosis in Oriental Medicine. Journal of Physiology & Pathology in Korean Medicine. 2009;23(5):942-9.
- Park JH, Shin SW, Jung GS, Park KM, Kim SH. Development and Evaluation of Ontology for Diagnosis in Oriental Medicine. Journal of Physiology & Pathology in Korean Medicine. 2006;20(1):202-8.
- Lee IS, Lee YT, Chi GY, Kim JW, Kim KK. Study for Diagnostic Correspondent Rates between DSOM and Oriental Medical Doctors. Journal of Physiology & Pathology in Korean Medicine. 2008;22(6):1359-67.
- Seo SW, Kim GJ, Kim NG, Seo JB, Ye JC, Jang DK, Choi BW. 의료인공지능 개발 및 사용 가이드라인 정립. Seoul:National Academy of Medicine of Korea. 2022:33-53.
- Kim HH, Yang SB, Kang YS, Park YB, Kim JH. Machine Learning Approach to Blood Stasis Pattern Identification Based on Self-reported Symptoms. Korean Journal of Acupuncture. 2016;33(3):102-13. https://doi.org/10.14406/acu.2016.011