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박사윤,Musun Park,Won-Yung Lee,Choong-Yeol Lee,Ji-Hwan Kim,이시우,김창업 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.3
Background: Despite the importance of accurate Sasang type diagnosis, a unique form of Korean medicine, there have been concerns about consistency among diagnoses. We investigate a data-driven integrative diagnostic model by applying machine learning to a multicenter clinical dataset with comprehensive features. Methods: Extremely randomized trees (ERT), support vector machines, multinomial logistic regression, and K-nearest neighbor were applied, and performances were evaluated by cross-validation. The feature importance of the classifier was analyzed to understand which information is crucial in diagnosis. Results: The ERT classifier showed the highest performance, with an overall f1 score of 0.60 ± 0.060. The feature classes of body measurement, personality, general information, and cold–heat were more decisive than others in classifying Sasang types. Costal angle was the most informative feature. In pairwise classification, we found Sasang type-dependent distinctions that body measurement features played a key role in TE-SE and TE-SY datasets, while personality and cold–heat features showed importance in SE-SY dataset. Conclusion: Current study investigated a comprehensive diagnostic model for Sasang type using machine learning and achieved better performance than previous studies. This study helps data-driven decision making in clinics by revealing key features contributing to the Sasang type diagnosis.
거대언어모델을 활용한 한의학 교육 강화: 교육용 인공지능 개발을 중심으로
박사윤,김창업 한의병리학회 2023 동의생리병리학회지 Vol.37 No.5
Large language models (LLMs) have introduced groundbreaking innovations in various fields, including healthcare, where they augment medical diagnosis, decision-making, and facilitate patient-doctor communication through their exceptional contextual understanding and inferential abilities. In the realm of Korean medicine (KM), the utilization of LLMs is highly anticipated. However, it demands additional training with domain-specific KM data for seamless integration of KM knowledge. There are two predominant strategies for training domain-specific LLMs in the KM domain. The first approach entails direct manipulation of the LLM's internals by either pretraining a base model on an extensive corpus of KM data or fine-tuning a pretrained model's parameters using KM-related question-answering datasets. The second approach avoids internal model manipulation and leverages techniques like prompt engineering, retrieval augmented generation, and cognitive augmentation. Domain-specific LLMs specialized for KM hold the potential for diverse applications, ranging from personalized medical education plans and content generation to knowledge integration, curriculum development, automated student assessment, virtual patient simulations, and advanced research and scholarly activities. These advancements are poised to significantly impact the field of KM and medical education at large.
한의사과학자 양성을 위한 한의학과 대학원 재학생의 교육 및 연구환경 실태조사와 제언
김명선,김명호,이민정,장동엽,박사윤 대한한의학회 2023 대한한의학회지 Vol.44 No.3
Objectives: The role of physician-scientists who bridge the gap between basic science and clinical medicine is crucial in advancing medical innovation. This study aims to examine the educational and research environment and career satisfaction of graduate students in Korean Medicine among those who are Korean medicine doctor (KMD). Methods: This study analyzed the results of a survey consisting of respondents’ composition, job status, graduate education and job satisfaction, economic conditions, career determinants, and obstacles to the career path of KMD-scientists from 65 participants including both full-time and part-time graduate students. Results: The results revealed significant differences between full-time and part-time graduate students in terms of weekly hours spent and job priorities, motivation for entering graduate school, career preferences, and desired career paths. The study highlights the need for tailored support for full-time and part-time graduate students and the importance of economic assistance in fostering KM scientists. Economic difficulties were identified as a major obstacle for full-time graduate students pursuing research careers. Tuition fees were found to be a significant burden for all graduate students. Furthermore, it emphasizes the importance of enhancing the research capabilities of part-time graduate students and improving the quality of education to foster KMD-scientists. Conclusion: This research provides essential insights for Korean Medicine colleges and graduate schools to develop targeted improvement plans and effectively train KMD-scientist.
강성웅,임상희,문재호,박사윤,허현석 대한재활의학회 2004 Annals of Rehabilitation Medicine Vol.28 No.6
Objective: To evaluate the cardiac function and to explore the importance of the evaluation of cardiac function in patients with Duchenne muscular dystrophy (DMD). Method: Thirty-nine patients with DMD without any symptoms of heart problems underwent physical examinations and cardiac monitoring including the arterial carbon dioxide (CO2) screening. Thirty one patients underwent pulmonary function test. Results: Among 39 patients 27 showed abnormal electrocardiographic findings such as ventricular hypertrophy, ischemic change, atrial hypertrophy, T wave inversion, sinus tachycardia and ST elevation. 24 patients showed abnormal echocardiographic findings such as abnormal ejection fraction, dilated cardiomyopathy (DCMP), filling abnormality of left ventricle, global hypokinesia and reduced systolic function. 17 patients showed low ejection fraction (below 59%) and 4 of them were diagnosed as DCMP. There were significant correlations between age and ejection fraction (r=-0.552, p<0.01), between functional level and ejection fraction (r=-0.607, p<0.01) and between vital capacity and ejection fraction (r=0.547, p<0.01). However, ejection fraction showed no significant correlations with arterial CO2. Conclusion: Routine evaluation of the cardiac function, at least from 10 years of age, and proper treatment following early diagnosis of heart problems were necessary in patients with DMD, because they possibly have been severely affected by cardiac problems without any clinical symptoms.