• 대한물리의학회지
• /
• 제14권3호
• /
• pp.55-62
• /
• 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.

• 한국병원경영학회지
• /
• 제21권4호
• /
• pp.55-62
• /
• 2016

Purposes: The industry has specialized and fragmented than in the past. As a factor of economic growth and industrialization, the number of people employed in primary industry decreased and the number of people employed in secondary and third industry continuously increased. In modern times, incidence of chronic disease is increasing according to industrial development. So, the purpose of this study was to analyze the chronic disease according to Clark's industrial classification. Methodology: Data were derived from the 2012 Korea Health Panel. The sample was made up of 7,132 adult participants aged 20 or over selected Korea Health Panel by probability sampling from Korea. Binary logistic regression analysis was conducted to examine the main factors associated with chronic disease. Findings: The significant factors associated with chronic disease were gender, age, marital status, household member, education level, insurance type, disability, BMI, and industrial classification. Female, elderly, divorced(including bereavement, missing and separation), one-person households, less than high school graduation, medical aid, disability, obese and primary industry were confirmed chronic disease increases. Practical Implications: The study finds that primary industry's prevalence of chronic disease was higher than secondary and third industry. Therefore, this study aims to management and effort of the worker who engaged in the primary industry. Policy development is required to address inequality or popularization of the differences in these factors by conducting a study to define the working conditions and socio-economic factors between industry.

• 한국재난정보학회 논문집
• /
• 제1권1호
• /
• pp.3-26
• /
• 2005

In recent years, there is growing concern about the potential use of biological agents in war or acts of terrorism accompanied an increased realization that rapid preparedness and response are needed to prevent or treat the human damage that can be caused by these agents. The threat is indeed serious, and the potential for devastating numbers of casualties is high. The use of agents as weapons, even on a small scale, has the potential for huge social and economic disruption and massive diversion of regional and national resources to combat the threat, to treat primary disease, and to clean up environmental contamination. Biological weapons are one of weapons of mass destruction (or mass casualty weapons, to be precise. since they do not damage non-living entities) that are based on bacteria, viruses, rickettsia, fungi or toxins produced by these organisms. Biological weapons are known to be easy and cheap to produce and can be used to selectively target humans, animals, or plants. Theses agents can cause large numbers of casualties with minimal logistical requirements (in wide area). The spread of disease cannot be controlled until there is awareness of the signs of infection followed by identification of agents; and if the organism is easily spread from person to person, as in the case of smallpox, the number of casualties could run into the tens of thousands. Biological weapons could be used covertly, there can be a lot of different deployment scenarios. A lot of different agents could be used in biological weapons. And, there are a lot of different techniques to manufacture biological weapons. Terrorist acts that make use of Biological Agents differ in a number of ways from those involving chemicals. The distinction between terrorist and military use of Biological Weapon is increasingly problematic. The stealthy qualities of biological weapons further complicate the distinction between terrorism and war. In reality, all biological attacks are likely to require an integrated response involving both military and civilian communities. The basic considerations when public health agencies establish national defence plan against bioterrorism must be 1) arraying various laws and regulations to meet the realistic needs, 2)education for public health personnels and support of concerned academic society, 3)information collection and cooperative project with other countries, 4)Detection and surveillance(Early detection is essential for ensuring a prompt response to biological or chemical attack, including the provision of prophylactic medicines, chemical antidotes, or vaccines) and 5) Response(A comprehensive public health response to a biological or chemical terrorist event involves epidemiologic investigation, medical treatment and prophylaxis for affacted persons, and the initiation of disease prevention or environmental decontamination measures). The purpose of this paper is providing basic material of preparedness and response for biological terrorism in modern society.

• 대한한의학회지
• /
• 제41권1호
• /
• pp.11-20
• /
• 2020

Objectives: We noticed that hyperhidrosis can be differentiated by whether it is topical or systemic in both Korean medicine(KM) and Modern medicine(MM). Comparing between topical and systemic sweating, we will figure out similarity between KM and MM about stimuli on sweat. Methods: All research is done by finding information on text-book, article, books. Results: Hyperhidrosis is differentiated by whether it is topical or systemic in both Korean medicine(KM) and Modern medicine(MM). First, systemic sweating(SS) is affected by body temperature. In KM, Heat and Cold(plus yang deficiency) can make human sweat systemically. In MM, heat is also mentioned as stimulus. Second, topical sweating(TS) can occur on emotionally-stressed situation especially on palms-and-soles. In KM, this phenomenon is explained by heart spirit(心神) and disease transmitted by pericardium meridian(手厥陰心包經 是動病). In MM, anatomically hyperhidrosis on palms-and-soles is generated by adrenergic sympathetic nerve which is involved with stress. Third, sweating on palms-and-soles also can be generated by internal organ. In KM, hyperhidrosis on palms-and-soles is explained as illness on stomach meridian(足陽明胃經). The 70% of parasympathetic nerve is vagus nerve which is located at internal organs-usually gastrointestinal tract. In that point, stomach and parasympathetic nerve seem to be involved in hyperhidrosis on palms-and-soles. Conclusion: Hyperhidrosis is differentiated similarly by whether it is topical or systemic in both Korean medicine and Modern medicine. Conserving each perspective of KM and MM, one perspective can be useful to other by supplementing other's weak point.

• 한국인터넷방송통신학회논문지
• /
• 제23권4호
• /
• pp.127-135
• /
• 2023

요즘, 우울증 및 스트레스로 자살하는 환자가 급증하고 있다. 뿐만 아니라, 스트레스 및 우울증이 오래 지속되면, 심장병 및 뇌 질환, 고혈압 등을 유발할 수 있는 위험한 요소로 질환이다. 그러나, 아무리 현대 의학이 발전하였지만, 우울증 및 심장병 환자에게는 특별한 약이나 치료제가 없는 매우 난감한 상황이다. 그러므로, 세계 여러 나라에서, 심전도 및 산소포화도, 뇌파 분석 기능을 이용해서 우울증 위험환자 및 자살 위험환자를 조기에 판단하는 연구가 활발하게 이루어지고 있다. 본 논문에서는, 이러한 문제점을 분석하기 위해서, 심장병 가설데이터를 수립해서, 심장병 위험환자를 판단하는 컴퓨터 모의실험을 수행하였다. 특히, 심장병 발생 예측을 을 10% 이상 향상하게 시키기 위해서, 퍼지 추론을 사용하는 모의실험을 수행하였다.

• 대한한의학원전학회지
• /
• 제23권4호
• /
• pp.31-33
• /
• 2010

The earliest record of 'Eum-yang Interlocking(陰陽交)' is in "Hwangjenaegyeong(黃帝內經)". In this article, we reviewed the meaning of the two Chinese Characters 'On'(溫) and "Gyo"(交), discussed the meaning, mechanism and treatment principles of Eum-yang Interlocking and Three Incurable Symptoms in order to provide a theoretical basis for treating the warm febrile disease in modern times.

• 동의생리병리학회지
• /
• 제27권5호
• /
• pp.570-577
• /
• 2013

To research the trends of study about gastrointestinal (GI) disease in Korean medicine, we reviewed and analysed articles published in Korea from 2009 to 2012. From ancient to modern history, traditional plant-based medicines have played an important role in health care, especially GI tract. In spite of the great advances of moderm scientific medicine, traditional medicine is still the primary form of healing methods readily available to the majority of the people in the many countries. In fact many of today's popular drugs have their origins in traditional medicine. Therefore, we suggest that the development and improvement of Korean medicine in GI tract will make good the quality of life in our lifetime.

• Clinical and Experimental Reproductive Medicine
• /
• 제51권2호
• /
• pp.91-101
• /
• 2024

Infertility is a complex disease characterized by extreme genetic heterogeneity, compounded by various environmental factors. While there are exceptions, individual genetic and genomic variations related to infertility are typically rare, often family-specific, and may serve as susceptibility factors rather than direct causes of the disease. Consequently, identifying the cause of infertility and developing prevention and treatment strategies based on these factors remain challenging tasks, even in the modern genomic era. In this review, we first examine the genetic and genomic variations associated with infertility, and subsequently summarize the concepts and methods of preimplantation genetic testing in light of advances in genome analysis technology.

• International Journal of Computer Science & Network Security
• /
• 제24권5호
• /
• pp.53-63
• /
• 2024

Alzheimer's disease is a brain disorder that worsens over time and affects millions of people around the world. It leads to a gradual deterioration in memory, thinking ability, and behavioral and social skills until the person loses his ability to adapt to society. Technological progress in medical imaging and the use of artificial intelligence, has provided the possibility of detecting Alzheimer's disease through medical images such as magnetic resonance imaging (MRI). However, Deep learning algorithms, especially convolutional neural networks (CNNs), have shown great success in analyzing medical images for disease diagnosis and classification. Where CNNs can recognize patterns and objects from images, which makes them ideally suited for this study. In this paper, we proposed to compare the performances of Alzheimer's disease detection by using two deep learning methods: You Only Look Once (YOLO), a CNN-enabled object recognition algorithm, and Visual Geometry Group (VGG16) which is a type of deep convolutional neural network primarily used for image classification. We will compare our results using these modern models Instead of using CNN only like the previous research. In addition, the results showed different levels of accuracy for the various versions of YOLO and the VGG16 model. YOLO v5 reached 56.4% accuracy at 50 epochs and 61.5% accuracy at 100 epochs. YOLO v8, which is for classification, reached 84% accuracy overall at 100 epochs. YOLO v9, which is for object detection overall accuracy of 84.6%. The VGG16 model reached 99% accuracy for training after 25 epochs but only 78% accuracy for testing. Hence, the best model overall is YOLO v9, with the highest overall accuracy of 86.1%.

• Safety and Health at Work
• /
• 제3권1호
• /
• pp.11-16
• /
• 2012

Lead poisoning is one of the earliest identified and most known occupational disease. Its acute effects have been recognized from antiquity when this condition principally afflicted manual workers and slaves, actually scarcely considered by the medicine of that time. The Industrial Revolution caused an epidemic of metal intoxication, urging scientists and physician of that period to study and identify specific symptoms and organ alterations related to chronic lead poisoning. During the 20th century, the acknowledgment of occupational and environmental toxicity of lead fostered public awareness and legislation to protect health. More recently, the identification of sub-clinical effects have greatly modified the concept of lead poisoning and the approaches of medicine towards this condition. Nowadays, lead poisoning is rarely seen in developed countries, but it still represents a major environmental problem in certain areas. Consequently, it may appear as a paradigm of "occupational and environmental disease," and the history of this condition seems to parallel the historical development of modern "Occupational and Environmental Health" as a more complete medical discipline.