• Journal of Korean Medical classics
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• v.25 no.1
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• pp.1-16
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• 2012

"Yixuerumen" is a comprehensive medical text published in the Ming-dynasty by Li Chan(李梴). In this text, Sanghan(傷寒, cold damage) is categorized among external contraction(外感) with much emphasis. The subject of this study is the verse "The Principal and secondary aspects must first be decided." and its annotations in the in the Sanghan chapter of "Yixuerumen". The complex theoretical structure of this verse was firstly analyzed, together with the historical background of how and why Li Chan adopted this concept. The Pyo-Bon concept is the contrast between phenomena(標) and its underlying source of motivation(本). The methodology for this study was to compare and analyze this main verse with contents on Sanghan and Un-gi(運氣) within the text, while reviewing historical theories explaining the physiology and pathology of the human body in terms of the Pyo-bon(標本) concept. As a result, we discovered that the Pyo-bon(標本) concept used in the aforementioned verse of "Yixuerumen" matches the Three Eum Three Yang(三陰三陽)-標本中氣(pyo-bon-jung gi)-gi transformation(氣化) theory of Un-gi(運氣). Li Chan created the connecting link in understanding the Three Eum Three Yang diagnosis system through the viscera/bowels theory(臟腑論) by adopting the Three Eum Three Yang(三陰三陽)-標本中氣(pyo-bon-jung gi)-gi transformation(氣化) theory from Un-gi. Li's work lead to several changes in the field of Sanghan. First, Li understood the disease pattern of Sanghan by using the accumulated knowledge of the viscera/bowel theory during the Jin-Yuan dynasty, and developed a medical perspective that observes the disease pattern based on the body's essence gi(精氣). Second, he set the category of the Sanghan-Three Eum Three Yang disease pattern, establishing a separate guideline. Third, by adding knowledge of herbs to the accumulated knowledge of the viscera/bowel theory, the process of diagnosis and herbal application were made explicable. On the other hand, in the process of interpreting the 三陰三陽 diagnosis system with viscera/bowels theory, theoretical inconsistencies appeared, of which Li tried to mend by several means. The results of the research on "Yixuerumen(醫學入門) the Sanghan chapter(傷寒篇)" calls for further studies, as it has effected both "Dongeuibogam(東醫寶鑑) the Sanghan part(寒門)" and "Dongeuisoosebowon(東醫壽世保元)" as well.

• Proceedings of the KSRS Conference
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• v.2
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• pp.627-630
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• The Korean Journal of Health Service Management
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• v.7 no.4
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• pp.81-92
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• 2013

This research was conducted to analyze the perception of the dental hygienists who work in ordinary dental clinics regading patient safety culture and to analyze the related elements. As for the research subjects and methods, 233 dental hygienists who work at the dental clinics located in Daegu, Gyeongbuk and Jeonnam were targeted from February 6, 2012 to March 5, 2012 to administer survey by utilizing patient safety culture recognition tool. Collected data was subjected to the SPSS 18.0 program to calculate average and standard deviation, and to carry out t-test, ANOVA and multiple regression analysis. Dental hygienists' level of perception towards patient safety culture was mid level, and it was demonstrated that there is a correlation with age, work experience at department, title and type of department that affect level of perception towards patient safety culture. In conclusion, Since this research targeted only a limited number of dental hygienists, it is necessary to be cautious about over-interpreting the results. Above anything, it is necessary to carry out repetitive research by targeting medical professionals of diverse jobs.

• Korean Journal of Remote Sensing
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• v.22 no.5
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• pp.457-462
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.3
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• pp.55-62
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• 2019

PURPOSE: Text-mining has been shown to be useful for understanding the clinical characteristics and patients' concerns regarding a specific disease. Low back pain (LBP) is the most common disease in modern society and has a wide variety of causes and symptoms. On the other hand, it is difficult to understand the clinical characteristics and the needs as well as demands of patients with LBP because of the various clinical characteristics. This study examined online texts on LBP to determine of text-mining can help better understand general characteristics of LBP and its specific elements. METHODS: Online data from www.spine-health.com were used for text-mining. Keyword frequency analysis was performed first on the complete text of postings (full-text analysis). Only the sentences containing the highest frequency word, pain, were selected. Next, texts including the sentences were used to re-analyze the keyword frequency (pain-text analysis). RESULTS: Keyword frequency analysis showed that pain is of utmost concern. Full-text analysis was dominated by structural, pathological, and therapeutic words, whereas pain-text analysis was related mainly to the location and quality of the pain. CONCLUSION: The present study indicated that text-mining for a specific element (keyword) of a particular disease could enhance the understanding of the specific aspect of the disease. This suggests that a consideration of the text source is required when interpreting the results. Clinically, the present results suggest that clinicians pay more attention to the pain a patient is experiencing, and provide information based on medical knowledge.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.407-411
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• 2022

최근 COVID-19로 인해 대중의 의학 분야 관심이 증가하고 있다. 대부분의 의학문서는 전문용어인 의학용어로 구성되어 있어 대중이 이를 보고 이해하기에 어려움이 있다. 의학용어를 쉬운 뜻으로 풀이하는 모델을 이용한다면 대중이 의학 문서를 쉽게 이해할 수 있을 것이다. 이런 문제를 완화하기 위해서 본 논문에서는 Transformer 기반 번역 모델을 이용한 의학용어 탐지 및 해석 모델을 제안한다. 번역 모델에 적용하기 위해 병렬말뭉치가 필요하다. 본 논문에서는 다음과 같은 방법으로 병렬말뭉치를 구축한다: 1) 의학용어 사전을 구축한다. 2) 의학 드라마의 자막으로부터 의학용어를 찾아서 그 뜻풀이로 대체한다. 3) 원자막과 뜻풀이가 포함된 자막을 나란히 배열한다. 구축된 병렬말뭉치를 이용해서 Transformer 번역모델에 적용하여 전문용어를 찾아서 해석하는 모델을 구축한다. 각 문장은 음절 단위로 나뉘어 사전학습 된 KoCharELECTRA를 이용해서 임베딩한다. 제안된 모델은 약 69.3%의 어절단위 BLEU 점수를 보였다. 제안된 의학용어 해석기를 통해 대중이 의학문서를 좀 더 쉽게 접근할 수 있을 것이다.

• Progress in Medical Physics
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• v.5 no.1
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• pp.3-12
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• 1994

Purporse : It is known that detection of calcification by MRI is difficulty in intracranial calcified lesions, but author tried to evaluate the signal intensity image of calcification by MR with experimental model. Subjects & Methods : Author analyzed and compared with values of calcium carbonate and hydroxyapatite phantoms by each concentration (10, 20, 30, 40, 50%) and size(1-10mm), measured ROI attenuating from CT and MRI(TlWI & T2WI). Results : The high concentration of calcium carbonate is, the lower the signal intensity of calcium carbonate phantom is both T1 & T2WI. For concentration of Hydroxyapatite of up to 30% by weight the signal intensity on standard T1 weighted images increased but subsequently decreased. Hyperintensity does not preclude calcification as a cause of the signal alteration-an observation that all radiologists interpreting MR images need to be aware of. Conclusion: The signal intensity of intracranial calcification is various on MR imaging in concerning with components, concentration, & size of calcification, and especially high signal intensity of intracranial calcification noted differencial diagnosis.

• Korean Journal of Acupuncture
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• v.29 no.3
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• pp.453-466
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• 2012

Objectives : The purpose of this study is to make nine classical needles understood easily through interpreting Nine Classical Needles in Rhymes. Methods : The principle of classification and clinical application of Nine Classical Needle was sorted out referring to "The beginning of Nine Classical Needles in Rhymes" and "The prescription and treatment of Nine Classical Needles in Rhymes" which is the chapter of "Golden Mirror of Medicine". Results & Conclusions : The Nine Classical Needles, which were designed to get harmonious interaction between human beings and the nature, have been representative medical appliance in Korean Medicine. The needles consist of shear needle, round-pointed needle, spoon needle, lance needle, stiletto needle, round-sharp needle, filiform needle, long needle, and big needle. Nine Classical Needles in Rhymes was formed in a poem format to help us easily memorize the essential contents of Nine Classical Needles. "The beginning of Nine Classical Needles in Rhymes" dealt with the reasons of making needles and organization principles about Nine Classical Needles. "The prescription and treatment of Nine Classical Needles in Rhymes" sorted main treatment applications of nine needles, helping understand needles as medical appliance.

• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.188-198
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• 2013

Advancement toward aging society has presented the importance of house planning in consideration of the elderly, increasing the necessity of such planning. Therefore the importance of indoor design guideline for elderly houses has been stressed and the understanding of the aging in regard to this trend will create more mature spaces. In line with this trend the purpose of this study is to study the medical factors related with bathroom interior design guidelines of the existing elderly houses from the viewpoint of deteriorating physical functions due to aging process. In order to research the deterioration of physical functions due to aging literatures of medical and exercise physiology were used and concerning the existing bathroom design guidelines for the aged people, the guideline items of behavior facilitation, physiological maintenance and perceptual maintenance aspects out of Murtha & Lee's user benefit criteria(1976) related with physical functions were selected to research in relation with the knowledge about the deterioration phenomena of physical functions. Physical aging and deterioration aspects were classified from the viewpoint of musculoskeletal disorder, cardiovascular disorder, respiratory disorder, gastronomy disorder, urology disorder, somatosensory disorder, endocrine disorder, immune disorder, nervous disorder and skin diseases and these were utilized in interpreting total 100 items of bathroom design guideline. Because bathroom is the space where many physical movements are done, it had the closest relationship with the deterioration of musculoskeletal health in general and as bathroom is the space where people use water and feel the difference in temperature and moisture more than other spaces, deterioration of skin and somatosensory health had the next closest relationship. The result of this study revealed that regarding the deterioration of physical functions of the elderly people in aspect of their perceptibility as designers will design creatively and sincerely based on its relationship with nervous system in future, the result of this study will be used to develop better spatial designs efficiently to meet for the aging society.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.997-1008
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• 2006

For extracting and processing information explicitly from given data, Formal Concept Analysis(FCA) is provided a method which is widely used for data analysis and clustering. The data can be structured into concepts, which are formal abstractions human thought allowing meaningful comprehensible interpretation. However, most FCA tools mainly focus on analyzing one-valued contexts that represent objects, attributes and binary relations between them. There we few FCA tools available that provide scaling and analyzing many-valued contexts representing objects, attributes and relations with attributes' values. In this paper, we propose not only a scaling algorithm for interpreting and simplifying the multivalued input data, but also an algorithm to generate concepts and build concept hierarchy from given raw data as well. Based on these algorithms, we develop an automate tool, FCA Wizard, for concept analysis and concept hierarchy. We also present FCA Wizard based applications in medical domain.