• Title/Summary/Keyword: Medical text

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Trends in Korean Medical education research from 2003 to 2022 (한의학교육 연구동향 분석 : 2003-2022년 국내 연구)

  • Dowon Gwak;Minki Kim;Jisoo Kwon;Changshik YIN
    • The Journal of Korean Medical History
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    • v.36 no.1
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    • pp.89-98
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    • 2023
  • This study aimed to review trends in Korean medical education research from 2003 to 2022. A total of 60 studies were identified, with an increasing trend in publication numbers. The research topics covered various aspects of Korean medicine education, including curriculum, basic science, clinical science, teaching methods, history, and international comparisons. Text mining analysis revealed "Curriculum", "Satisfaction" and "Clinical" to be frequent terms. The study suggests that Korean medicine education research should continue to develop, given its broad scope and growing interest.

Detecting Knowledge structures in Artificial Intelligence and Medical Healthcare with text mining

  • Hyun-A Lim;Pham Duong Thuy Vy;Jaewon Choi
    • Asia pacific journal of information systems
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    • v.29 no.4
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    • pp.817-837
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    • 2019
  • The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

Study on a Methodology for Developing Shanghanlun Ontology (상한론(傷寒論)온톨로지 구축 방법론 연구)

  • Jung, Tae-Young;Kim, Hee-Yeol;Park, Jong-Hyun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.25 no.5
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    • pp.765-772
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    • 2011
  • Knowledge which is represented by formal logic are widely used in many domains such like artificial intelligence, information retrieval, e-commerce and so on. And for medical field, medical documentary records retrieval, information systems in hospitals, medical data sharing, remote treatment and expert systems need knowledge representation technology. To retrieve information intellectually and provide advanced information services, systematically controlled mechanism is needed to represent and share knowledge. Importantly, medical expert's knowledge should be represented in a form that is understandable to computers and also to humans to be applied to the medical information system supporting decision making. And it should have a suitable and efficient structure for its own purposes including reasoning, extendability of knowledge, management of data, accuracy of expressions, diversity, and so on. we call it ontology which can be processed with machines. We can use the ontology to represent traditional medicine knowledge in structured and systematic way with visualization, then also it can also be used education materials. Hence, the authors developed an Shanghanlun ontology by way of showing an example, so that we suggested a methodology for ontology development and also a model to structure the traditional medical knowledge. And this result can be used for student to learn Shanghanlun by graphical representation of it's knowledge. We analyzed the text of Shanghanlun to construct relational database including it's original text, symptoms and herb formulars. And then we classified the terms following some criterion, confirmed the structure of the ontology to describe semantic relations between the terms, especially we developed the ontology considering visual representation. The ontology developed in this study provides database showing fomulas, herbs, symptoms, the name of diseases and the text written in Shanghanlun. It's easy to retrieve contents by their semantic relations so that it is convenient to search knowledge of Shanghanlun and to learn it. It can display the related concepts by searching terms and provides expanded information with a simple click. It has some limitations such as standardization problems, short coverage of pattern(證), and error in chinese characters input. But we believe this research can be used for basic foundation to make traditional medicine more structural and systematic, to develop application softwares, and also to applied it in Shanghanlun educations.

The Study of Muscle Fatigue and Risks of Musculoskeletal System Disorders from Text Inputting on a Smartphone

  • Ko, Kyung;Kim, Hee-Soo;Woo, Ji-Hea
    • Journal of the Ergonomics Society of Korea
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    • v.32 no.3
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    • pp.273-278
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    • 2013
  • Objective: This study aims to analyze and evaluate fatigue in upper trapezius muscles of adults when inputting text on a smart phone, thereby examining the risk of cumulative trauma disorders in the musculoskeletal system of the upper extremity. Method: Forty-five healthy adults were divided equally into three groups: a smartphone group, a notebook group, and a desktop group. A surface electromyogram was placed on the upper trapezius muscle of each participant, after which they inputted text for ten minutes within an ergonomic setting; their side posture was recorded on video and analyzed. Results: The spectral edge frequency values for the smartphone group, as recorded from the upper right trapezius muscles on the surface electromyogram, showed a significant decrease(p<.05). Regarding the RULA, all three groups had results indicating "action level 2". Conclusion: All three groups had results indicating "action level 2" according to the RULA, which means that additional research on the posture of the participants while performing tasks is necessary, and their posture needs to be corrected. In particular, the smartphone group has the highest levels of fatigue in the upper trapezius muscles, suggesting that the task of inputting text on a smartphone is a high risk for causing cumulative trauma disorders.

Is ChatGPT a "Fire of Prometheus" for Non-Native English-Speaking Researchers in Academic Writing?

  • Sung Il Hwang;Joon Seo Lim;Ro Woon Lee;Yusuke Matsui;Toshihiro Iguchi;Takao Hiraki;Hyungwoo Ahn
    • Korean Journal of Radiology
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    • v.24 no.10
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    • pp.952-959
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    • 2023
  • Large language models (LLMs) such as ChatGPT have garnered considerable interest for their potential to aid non-native English-speaking researchers. These models can function as personal, round-the-clock English tutors, akin to how Prometheus in Greek mythology bestowed fire upon humans for their advancement. LLMs can be particularly helpful for non-native researchers in writing the Introduction and Discussion sections of manuscripts, where they often encounter challenges. However, using LLMs to generate text for research manuscripts entails concerns such as hallucination, plagiarism, and privacy issues; to mitigate these risks, authors should verify the accuracy of generated content, employ text similarity detectors, and avoid inputting sensitive information into their prompts. Consequently, it may be more prudent to utilize LLMs for editing and refining text rather than generating large portions of text. Journal policies concerning the use of LLMs vary, but transparency in disclosing artificial intelligence tool usage is emphasized. This paper aims to summarize how LLMs can lower the barrier to academic writing in English, enabling researchers to concentrate on domain-specific research, provided they are used responsibly and cautiously.

Study of Ancient traditional medical text Lisangsokdanbang through the Uibangyuchwi (『의방유취(醫方類聚)』에 인용된 『이상속단방(理傷續斷方)』의 서지연구)

  • Kim, Young Gon;Kim, Nam Il;Ahn, Sang Woo
    • The Journal of Korean Medical History
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    • v.20 no.1
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    • pp.22-29
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    • 2007
  • Lisangsokdanbang is the oldest known medical document in existence. It is, however lost-its original copy could not be traced. But the contents of Lisangsokdanbang quoted in Uibangyuchwi, a document published in Chosun in 1447. Thus this study aims to restore the contents of Lisangsokdanbang based on Uibangyuchwi and present the synthesis of facts on Lisangsokdanbang extracted from the reference books.

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Translation study on the Gageum's Sanghanbuik (가금(柯琴) "상한부익(傷寒附翼)" 번역(飜譯) 연구(硏究))

  • Jeong, Chang-Hyun;Jang, Woo-Chang
    • Journal of Korean Medical classics
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    • v.18 no.3 s.30
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    • pp.183-206
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    • 2005
  • 'Sanghallonju'(傷寒論注) reorganized the formation according to method of 'the classification of similar symptoms' and annotated the text of Sanghallon, introducing his new methodology and 'Sanghallonik'(傷寒論翼) proclaimed his new finding of the science of the Sanghan. Meanwhile, 'Sanghanbuik' (傷寒附翼) explains various prescriptions in the 'Sanghallon'. It categorizes prescriptions according to the six Meridians and sum up Gageum's research by commenting on the target symtoms and the use of medicine on each prescriptions. Gageum's study is consistent in desire for embodying the universality of the differentiation of syndromes in accordance with the theory of the six Meridians.(六經辨證) in the medical scene. From his work, the substantiality of the six 'Sanghandbuik' is a publication that shows the essence of Gageum's medical science from his inclination, conclusion and concrete methodology.

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A Study on Citation Methods of Jejoongshinpyeon (『제중신편(濟衆新編)』의 인용방식에 대한 연구)

  • Ji, Chang Young
    • The Journal of Korean Medical History
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    • v.21 no.1
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    • pp.83-88
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    • 2008
  • Jejoongshinpyeon was published in 1799 by 康命吉 upon receiving orders from the king. This book is a critical accedence of Treasured Mirror of Oriental Medicine and aims to enunciate summarized medical knowledge. Through examining citation methods in Jejoongshinpyeon, the following conclusions could be reached: First, citation methods displayed in Jejoongshinpyeon is largely based on Treasured Mirror of Oriental Medicine. Second, the specific method of citing Treasured Mirror of Oriental Medicine involves collecting and describing annotations from different titles.. Third, Jejoongshinpyeon cites other medical texts by making additions to symptoms or prescriptions not included in Dongeuibogam.

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Significances on Political Thoughts in Traditional Korean Medical Texts- with Special References to "Dong-uibogam(東醫寶鑑)" and "Dong-uisusebowon(東醫壽世保元)" (조선조 의학 텍스트의 정치사상적 함의 : "동의보감"과 "동의수세보원"을 중심으로)

  • Jeong, Bok-Cheol
    • Journal of Korean Medical classics
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    • v.23 no.1
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    • pp.235-255
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    • 2010
  • Previous studies "Dong-uibogam(東醫寶鑑)" or "Dong-uisusebowon(東醫壽世保元)", Korean medical text written in the 16th/19th century, have focused mainly on his theories of Daoism and Neo-Confucianism or Post-Confucianism. This Study suggests that the "Dong-uibogam" and "Dong-uisusebowon" were the scholarly products of the Early Modern Neo-Confucians during the Joseon Dynasty period. These Early Modern Neo-Confucians ruled the dynasty rationally, and edited books on medical science, one of which were the "Dong-uibogam" or "Dong-uisusebowon". In these books, religious aspects of Daoism was excluded because these elements were not in agreement with medical science or Neo-Confucianism. The "Dong-uibogam" and "Dong-uisusebowon" were also translated into the Korean vernacular script based on an obligation to govern the people. This was example of Confucian enlightenment which was Early Modernity of "Dong-uibogam(東醫寶鑑)" or "Dong-uisusebowon(東醫壽世保元)" thought.