• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.420-426
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• 2022

Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1571-1576
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• 2022

This study aims to analyze the interest of modern people in non-face-to-face medical counseling in the medical industrys. Big data was collected on two social platforms, 지식인, a platform that allows experts to receive medical counseling, and YouTube. In addition to the top five keywords of telephone counseling, "internal medicine", "general medicine", "department of neurology", "department of mental health", and "pediatrics", a data set was built from each platform with a total of eight search terms: "specialist", "medical counseling", and "health information". Afterwards, pre-processing processes such as morpheme classification, disease extraction, and normalization were performed based on the crawled data. Data was visualized with word clouds, broken line graphs, quarterly graphs, and bar graphs by disease frequency based on word frequency. An emotional classification model was constructed only for YouTube data, and the performance of GRU and BERT-based models was compared.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.989-998
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• 2023

As diseases are already increasing due to aging population and changes in eating habits, interest in digital healthcare is increasing. According to the 2020 Elderly Status Survey, 84% of South Koreans aged 65 and older suffer from at least one chronic disease, and the number and duration of drugs taken by the elderly are also increasing. Effective management that enhances compliance of chronic disease patients can prevent the onset of complications, thereby averting progression to severe illnesses. Thus, a proper medication-taking habit is crucial. This paper proposes a medication information retrieval system using OCR technology. By leveraging Google Cloud Vision API, the system detects and recognizes the names of medicines. Once recognized, the medication name is searched in a database to provide users with medication information and medication schedule management services. By providing accurate medication information through the search, it is possible to induce changes in medication methods and habits. By eliminating the inconvenience of direct input through OCR technology, we anticipate enhancing user convenience by promptly delivering information.

• Women's Health Nursing
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• v.29 no.3
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• pp.179-189
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• 2023

Purpose: This scoping review investigated the content and quality of YouTube videos on women's health. Methods: A literature search of the Cochrane Library, PubMed, Embase, CINAHL, ERIC, and RISS databases was performed using the keywords "('youtube'/exp OR youtube OR 'social media'/exp OR 'social media' OR (('social'/exp OR social) AND ('media'/exp OR media))) AND ('female health care' OR (('female'/exp OR female) AND ('health'/exp OR health) AND ('care'/exp OR care)))" from February 21 to 27, 2023. Peer-reviewed analytic studies in English or Korean that focused on women's health using YouTube were included. Results: The review identified 21 articles that covered various themes related to women's health, such as breast cancer, urinary disease, sexual health, pelvic organ prolapse, the human papillomavirus vaccine, Papanikolaou smears, contraception, women's health information during the coronavirus disease 2019 pandemic, obstetric epidural anesthesia, and placenta accreta. However, the overall quality of the content was low, inaccurate, unreliable, and misleading. Conclusion: This scoping review demonstrated that YouTube videos on women's health covered diverse topics, but the quality of the content needed improvement. More reliable and high-quality videos produced by academic institutes and healthcare professionals specializing in women's health are needed for social media to be usable as a reliable source of women's health information. The high number of views and shares received by the videos underscores the importance of providing accurate and reliable information on women's health.

• Journal of Society of Preventive Korean Medicine
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• v.28 no.1
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• pp.89-107
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• 2024

Objectives : To investigate the clinical usage of Banhabaekchulcheonmatang (BBCT), this study reviewed clinical studies conducted in Korea. Method : Literature search was performed on four Korean database; OASIS, RISS, KTKP and NDSL. Studies published before July 2023 were categorized and analyzed according to the target disease. Results : Fifty-four studies including 36 single case reports and 18 case series were included in this review and the total number of case patients was 79. There were 24 patients with peripheral vertigo such as benign paraoxysmal positional vertigo and Meniere's disease, 17 with central vertigo such as cerebellar infarction, 15 with vertigo accompanied by digestive symptoms, 13 with headache, and 10 with other diseases. Vertigo treatment accounted for more than 70% of the total case and there was no cases of hypertension and dementia. The BBCT formulation used was decoction in 69 patients (87.3%), powder in 7 patients (8.9%), and combination of decoction and powder in 3 patients (3.8%). Conclusion : Clinical research should be accumulated to expand the use of BBCT in the treatment of hypertension and dementia. In order to increase the use of insurance-covered extract preparation, it is necessary to make an effort to include the various diseases actually treated with BBCT in the indications.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.7-12
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• 2012

Recently the medical field to efficiently process the vast amounts of information to decision trees, neural networks, Bayesian Networks, including the application method of various data mining techniques are investigated. In addition, the basic personal information or patient history, family history, in addition to information such as MRI, HRCT images and additional information to collect and leverage in the diagnosis of disease, improved diagnostic accuracy is to promote a common status. But in real world situations that affect the results much because of the variable exists for a particular data mining techniques to obtain information through the enemy can be seen fairly limited. Medical images were taken as well as a minor can not give a positive impact on the diagnosis, but the proportion increased subjective judgments by the automated system is to deal with difficult issues. As a result of a complex reality, the situation is more advantageous to deal with the relative probability of the multivariate model based on Bayesian network, or TAN in the K2 search algorithm improves due to expansion model has been proposed. At this point, depending on the type of search algorithm applied significantly influenced the performance characteristics of the extended Bayesian network, the performance and suitability of each technique for evaluation of the facts is required. In this paper, we extend the Bayesian network for diagnosis of diseases using the same data were carried out, K2, TAN and changes in search algorithms such as classification accuracy was measured. In the 10-fold cross-validation experiment was performed to compare the performance evaluation based on the analysis and the onset of high-risk classification for patients with HRCT images could be possible to identify high-risk data.

• Journal of Microbiology
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• v.41 no.3
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• pp.252-258
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• 2003

The carbon utilizations of Bacillus species and Pythium species were investigated by using a Biolog$^{(R)}$ microplate assay to determine if there are differences in the carbon utilizations of selected strains of these species. It may be possible to afford a competitive advantage to bacterial biological control agents by providing them with a substrate that they can readily use as a carbon source, for example, in a seed coating formulation. Microplates, identified as SFP, SFN and YT were used to identify spore-forming bacteria, nonspore-forming bacteria, and yeast, respectively. Bacterial and mycelial suspensions were adjusted to turbidities of 0.10 to 0.11 at 600 nm. One hundred microliters of each of the bacterial and mycelial suspension were inoculated into each well of each of the three types of microplates. L-arabinose, D-galactose, D-melezitose and D-melibiose of the 147 carbohydrates tested were found to be utilized only by bacteria, and not by Pythium species, by Biolog$^{(R)}$ microplate assay, and this was confirmed by traditional shake flask culture. Thus, it indicated that the Biolog$^{(R)}$ microplate assay could be readily used to search for specific carbon sources that could be utilized to increase the abilities of bacterial biological control agents to adapt to contrived environments.

• IMMUNE NETWORK
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• v.4 no.1
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• pp.1-6
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• 2004

Transplantation would be the only way to cure the end-stage organ failure involving heart, lung, liver, kidney and pancreas. The replacement of the parts of the body damaged to lose its function or lost to trauma must be a dream of human-being. Human history is replete with chimeras, from sphinxes to mermaids, making one wonder if the ancients might actually have dreamed of what now is called 'xenotransplantation'. In the 20th century, the transplantation of organs and tissues to cure disease has become a clinical reality. The development in the fields of surgical techniques, physiology and immunology attributed to the successful transplantation in human. In the center of the successful transplantation lies the progress in understanding the cellular and molecular biology of immune system which led to the development of immunosuppressive drugs and the invention of the concept of immunological tolerance. The mandatory side effects of immunosuppressive drugs including infection and cancer forced us to search alternative approaches along with the development of new immunosuppressive agents. Among the alternative approaches, the induction of a state of immunologic tolerance would be the most promising and the most generic applicability as a future therapy. Recent reports documenting long-term graft survival without immunosuppression suggest that tolerance-based therapies may become a clinical reality. Last year, we saw the epoch making success of overcoming hyperacute rejection in porcine to primate xenotransplantation which will lead porcine to human xenotransplantation to clinical reality. In this review, I dare to summarize the development of transplantation immunology from the perspective of history.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.4
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• pp.405-415
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• 2014

Objectives: The aim of this study is to comprehensively summarize endotoxin levels reported in operations using metalworking fluids(MWFs). Methods: An extensive literature review was conducted of studies reporting endotoxin levels in processes using metalworking fluids. Keyword search terms included 'metalworking fluids', 'machining fluids', 'metalworking operation', 'machining operation' and 'endotoxin', which were used in combination. Results: A total of ten manuscripts were found to report on airborne endotoxin levels from metalworking operations in the automobile industry. Polycarbonate(PC), polyvinyl chloride(PVC) and mixed cellulose ester(MCE) were used to collect airborne endotoxin. Limulus Amebocyte Lysate was mainly used to quantify endotoxin amount. The levels of airborne endotoxin reviewed varied considerably, ranging from < $4EU/m^3$ to $790EU/m^3$, which was found to be far lower than those from cotton and potato processing plants, sawmills, and poultry farms. Several studies assumed that exposure to endotoxin could be a causative agent of respiratory diseases. Conclusions: Inhalation endotoxin exposure levels reported from metalworking operations were found to be lower than those from industries handling organic materials, even though it could be considered as a possible cause for several respiratory diseases.

• Journal of Korean Traditional Oncology
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• v.16 no.2
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• pp.9-17
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• 2011

Objectives : Contradictions for Oncology acupuncture were searched and reviewed to establish fundamentals for the appropriate contraindication guideline. Methods : In order to search contraindications for oncology acupuncture, domestic journals, books and online database of Pubmed were searched using the terms, cancer, tumor, acupuncture, safety, contraindications and guideline were below. Results : We found 7 papers and 1 book by the above methods. We reviewed and suggested the contraindications. Contraindications for oncology acupuncture are neutropenia (absolute neutrophil count : ANC less than $500/mm^3$), thrombocytopenia (platelets less than $50,000/mm^3$), anticoagulant use, spinal instability, tumour nodule, lymphedema, prosthesis, intracranial deficits, confused patients, significant arrhythmia, patient refusal to treatment, severe neurotic patients and intracardiac defribillator. Contraindications for using semi-permanent needles are neutropenia (ANC less than $500/mm^3$), splenectomy, valvular heart disease, B, C hepatitis and keloids. Conclusions : Acupuncture for cancer patients pose significant risks but these guidelines are proposed in the hopes of providing certain boundaries in practicing oncology acupuncture. A more systematic and rigorous research is needed to establish a more reliable oncology acupuncture guidelines.