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강신익(Shin-Ik Kang) 한국의철학회 2008 의철학연구 Vol.6 No.-
21세기 초 문명사회를 살아가는 사람들은 대부분 의학을 과학의 한 분야로 받아들인다. 그리고 과학인 의학이 인류를 모든 질병의 고통에서 구원해 줄 것이라고 믿는다. 하지만 의학은 본질적으로 순수한 과학일 수도 없고 그렇다고 예술이나 종교처럼 우리를 실존적으로 구원해주지도 못한다. 인간의 구원이 의학의 목적일 수는 있어도 의학이 바로 구원인 것도 아니고 구원을 약속해 주는 것도 아니기 때문이다. 이 글에서는 과학을 중심으로 한 지금의 의학을 비판적으로 검토하고 의학에 대한 새로운 이해의 틀을 제시한다. 그리하여 의학을 “질병경험에 대한 인간의 종합적 행위체계”로 재규정한다. 그리고 그 경험과 행위를 자연, 사회, 인문의 상호의존적인 세 차원에서 검토하고 각각의 영역을 자연의학, 사회의학, 인문의학으로 명명한다. 이 셋 중에서도 인문의학은 최근에 와서야 관심을 받기 시작했지만 의학의 전체 흐름을 바꿀 큰 잠재력을 가진 영역이다. 인문학은 의학을 연구의 대상으로 삼을 수도 있고 의학의 도구가 될 수도 있으며 의학에 통합될 수도 있다. Most of us living in the 21th century take medicine as a field of science, and believe that science will save us all from the suffering of diseases. I argue, on the contrary, that medicine cannot be a pure science nor save us. Salvation may be the aim of medicine, but medicine in itself cannot be a savior nor promise to be one. In this paper I review the current biomedicine critically and propose a new way of understanding and constructing medicine. I re-conceptualize medicine as “a composite human action system on the experience of illnesses.” And I review the composite matrix of experience-and-action in three dimensions of Nature, Society and Humanity. The three perspectives of medicine comprise natural, social, and humanistic medicines respectively. Of the three, humanistic medicine is the one that has not been highlighted until recently, but has the potential to change the whole landscape of medicine. The humanities can make medicine as a study subject, can be an instrument of medicine, or can be incorporated into medicine.
의학교육에서 기계학습방법 교육: 석면 언론 프레임 연구사례를 중심으로
김준혁,허소윤,강신익,김건일,강동묵,Kim, Junhewk,Heo, So-Yun,Kang, Shin-Ik,Kim, Geon-Il,Kang, Dongmug 연세대학교 의과대학 2017 의학교육논단 Vol.19 No.3
There is a more urgent call for educational methods of machine learning in medical education, and therefore, new approaches of teaching and researching machine learning in medicine are needed. This paper presents a case using machine learning through text analysis. Topic modeling of news articles with the keyword 'asbestos' were examined. Two hypotheses were tested using this method, and the process of machine learning of texts is illustrated through this example. Using an automated text analysis method, all the news articles published from January 1, 1990 to November 15, 2016 in South Korea which included 'asbestos' in the title and the body were collected by web scraping. Differences in topics were analyzed by structured topic modelling (STM) and compared by press companies and periods. More articles were found in liberal media outlets. Differences were found in the number and types of topics in the articles according to the partisanship and period. STM showed that the conservative press views asbestos as a personal problem, while the progressive press views asbestos as a social problem. A divergence in the perspective for emphasizing the issues of asbestos between the conservative press and progressive press was also found. Social perspective influences the main topics of news stories. Thus, the patients' uneasiness and pain are not presented by both sources of media. In addition, topics differ between news media sources based on partisanship, and therefore cause divergence in readers' framing. The method of text analysis and its strengths and weaknesses are explained, and an application for the teaching and researching of machine learning in medical education using the methodology of text analysis is considered. An educational method of machine learning in medical education is urgent for future generations.
증예보고 : 상악동에 발생하는 합병증의 고찰 - 염증성 합병증을 중심으로 -
이희철(Hee Chul Lee),강신익(Shin Ik Kang) 대한악안면성형재건외과학회 1984 Maxillofacial Plastic Reconstructive Surgery Vol.6 No.1
This small article deals with the diseases of the maxillary sinuses commonly found in the dental office especially in oral surgery clinics, and proposes proper evlauation and treatment planning. Total 34 cases found and treated in dept of oral surgery. Inje Medical College Pusan Paik Phopital were reviewed. Almost of them were inflammatory conditions, and some of them were neoplastic cir developmental in origin. Inflammatory tissues of the mexillary sinuses were biopsied and calssified according to their histologic types. Also, microbiologic specimens were taken and causative organisms and antibiotics sensitive to them were identified, generally acceptable antibiotics were proposed.