• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.551-554
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• 2017

The largest industry in the world is the medical industry, and due to aging and growing demand for well-being, it is necessary to review the competition strategy of the healthcare industry. We will secure competitiveness among medical institutions through the rapid dissemination of ICT convergence, study the intelligence level of digital health care by increasing the capacity of intelligent medical care by combining big data of medical data and artificial intelligence, And to find a countermeasure for constructing a medical optimization model.

• Korean System Dynamics Review
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• v.6 no.2
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• pp.73-93
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• 2005

This paper on an experiment, using System Dynamics, on the affect of increase in number of beds and medical instruments used for the care of premature infants, which constitute the physical requirements in quality of medical services, on changes in the survival rate of premature in ants that leads to demographic changes of Newborn infants. The model has four sectors: take-in capacity, survival rate of premature infants, demographics without newborn infants and demographics with newborn infants. The model simulates the changes in demographics of the newborn infants from 2002 to 2022. The study results show that the survival rate of premature infants can be increased by improving the physical aspects in the quality of medical services. An average of 1,900 premature infants can survive as a result of the physical quality improvements in medical services, adding up to an increase of 37,300 newborn infants by the year 2022.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.2
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• pp.487-492
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• 2012

Trace element zinc deficiency or excess is implicated in the development or progression of some cancers. The exact role of zinc in the etiology of colon cancer is unclear. To cast light on this question, an experimental model of colon carcinogenesis was applied here. Six week old rats were given sub cutaneous injections of DMH (30 mg/kg body weight) twice a week for three months and sacrificed after 4 months (precancer model) and 6 months (cancer model). Plasma zinc levels showed a significant decrease (p<0.05) at 4 months and a greater significant decrease at 6 months (p<0.01) as compared with controls. In the large intestine there was a significant decrease in tissue zinc levels (p<0.005) and in CuZnSOD, and alkaline phosphatase activity (p<0.05) in the pre-cancerous model and a greater significant decrease in tissue zinc (p<0.0001), and in CuZnSOD and alkaline phosphatase activity (p<0.001), in the carcinoma model. The tissue zinc levels showed a significant decrease in the small intestine and stomach (p<0.005) and in liver (p<0.05) in the cancer model. 87% of the rats in the precancer group and 92% rats in the cancer group showed histological evidence of precancerous lesions and carcinomas respectively in the colon mucosa. This study suggests that the decrease in plasma zinc, tissue zinc and activity of zinc related enzymes are associated with the development of preneoplastic lesions and these biochemical parameters further decrease with progression to carcinoma in the colon.

• Journal of Internet Computing and Services
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• v.11 no.5
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• pp.59-70
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• 2010

The Ubiquitous Healthcare business are growing recently by medical service development. According to this environment, many healthcare service model have been studying and suggested. At the same time, medical world market has been reorganized into a traditional medical science out of the west medical science. But in spite of this trend, domestic U-Healthcare market in traditional medical science is for lack of profit service model. So it is true that the presentation is demanded from oriental medicine U-Healthcare service model these days in oriental field. Thus, in this paper we propose the healthcare service model that can be applied to the oriental field efficiently. Our method is based on fuzzy rule method that analyze the patient data by CDSS processing. In experiment, proposed method is more profitable and efficient than west service model. For future works, we will research about the standardization and security of processed data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2016-2029
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• 2023

Accurate prediction of critical illness is significant for ensuring the lives and health of patients. The selection of indicators affects the real-time capability and accuracy of the prediction for critical illness. However, the diversity and complexity of these indicators make it difficult to find potential connections between them and critical illnesses. For the first time, this study proposes an indicator analysis model to extract key indicators from the preoperative and intraoperative clinical indicators and laboratory results of critical illnesses. In this study, preoperative and intraoperative data of heart failure and respiratory failure are used to verify the model. The proposed model processes the datum and extracts key indicators through four parts. To test the effectiveness of the proposed model, the key indicators are used to predict the two critical illnesses. The classifiers used in the prediction are light gradient boosting machine (LightGBM) and eXtreme Gradient Boosting (XGBoost). The predictive performance using key indicators is better than that using all indicators. In the prediction of heart failure, LightGBM and XGBoost have sensitivities of 0.889 and 0.892, and specificities of 0.939 and 0.937, respectively. For respiratory failure, LightGBM and XGBoost have sensitivities of 0.709 and 0.689, and specificity of 0.936 and 0.940, respectively. The proposed model can effectively analyze the correlation between indicators and postoperative critical illness. The analytical results make it possible to find the key indicators for postoperative critical illnesses. This model is meaningful to assist doctors in extracting key indicators in time and improving the reliability and efficiency of prediction.

• Korean Medical Education Review
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• v.26 no.1
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• pp.27-35
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• 2024

Medical students' career choices hold significant importance at both individual and national levels. Therefore, Chungnam National University College of Medicine aimed to systematize its revised career fair in 2022, basing its efforts on a career planning process model. Chungnam National University College of Medicine sought to formalize the design process by utilizing the ADDIE model (analysis design, development, implementation, evaluation model) in developing programs for the career fair program. Throughout the entire process, the student support center and student council actively collaborated, striving to incorporate students' requests and opinions. They designed and developed a program for all stages of the career planning process. However, a new stage ("review & ref lection") was added to the existing 4-phase model, creating a transformed framework where this stage interacts with the original 4 phases. Each stage involved portfolios, career aptitude tests, career-related lectures, posters with introductory information about majors, and booths for each major. The revised career fair attracted double the expected participants (N=589). The program evaluation survey showed overall positive responses (N=135). Additionally, some factors in the Specialty Indecision Scale showed significant differences between before and after the career fair. The success of the newly developed career fair at Chungnam National University College of Medicine can be attributed to its systematic framework and the active involvement of students throughout the process. However, for aspects with long-term implications, such as "understand yourself " and "choose your specialty," there may be a need for supplementary programs.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.44-59
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• 2023

Purpose: In the event of mass casualties, triage must be done promptly and accurately so that as many patients as possible can be recovered and returned to the battlefield. However, medical personnel have received many tasks with less manpower, and the battlefield for classifying patients is too complex and uncertain. Therefore, we studied an artificial intelligence model that can assist and replace medical personnel on the battlefield. Method: The triage model is presented using reinforcement learning, a field of artificial intelligence. The learning of the model is conducted to find a policy that allows as many patients as possible to be treated, taking into account the condition of randomly set patients and the medical capability of the military hospital. Result: Whether the reinforcement learning model progressed well was confirmed through statistical graphs such as cumulative reward values. In addition, it was confirmed through the number of survivors whether the triage of the learned model was accurate. As a result of comparing the performance with the rule-based model, the reinforcement learning model was able to rescue 10% more patients than the rule-based model. Conclusion: Through this study, it was found that the triage model using reinforcement learning can be used as an alternative to assisting and replacing triage decision-making of medical personnel in the case of mass casualties.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.341-347
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• 2012

Network Access Control system of medical asset protection solutions that installation and operation on system and network to provide a process that to access internal network after verifying the safety of information communication devices. However, there are still the internal medical-data leakage threats due to spoof of authorized devices and unauthorized using of users are away hours. In this paper, Network 2-Factor Access Control Model proposed for prevention the medical-data leakage by improving the current Network Access Control system. The proposed Network 2-Factor Access Control Model allowed to access the internal network only actual users located in specific place within the organization and used authorized devices. Therefore, the proposed model to provide a safety medical asset environment that protecting medical-data by blocking unauthorized access to the internal network and unnecessary internet access of authorized users and devices.

• The Korean Journal of Pain
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• v.23 no.3
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• pp.166-171
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• 2010

Background: Neuropathic pain resulting from diverse causes is a chronic condition for which effective treatment is lacking. The goal of this study was to test whether dexamethasone exerts a preemptive analgesic effect with bupivacaine when injected perineurally in the spared nerve injury model. Methods: Fifty rats were randomly divided into five groups. Group 1 (control) was ligated but received no drugs. Group 2 was perineurally infiltrated (tibial and common peroneal nerves) with 0.4% bupivacaine (0.2 ml) and dexamethasone (0.8 mg) 10 minutes before surgery. Group 3 was infiltrated with 0.4% bupivacaine (0.2 ml) and dexamethasone (0.8 mg) after surgery. Group 4 was infiltrated with normal saline (0.2 ml) and dexamethasone (0.8 mg) 10 minutes before surgery. Group 5 was infiltrated with only 0.4% bupivacaine (0.2 ml) before surgery. Rat paw withdrawal thresholds were measured using the von Frey hair test before surgery as a baseline measurement and on postoperative days 3, 6, 9, 12, 15, 18 and 21. Results: In the group injected preoperatively with dexamethasone and bupivacaine, mechanical allodynia did not develop and mechanical threshold forces were significantly different compared with other groups, especially between postoperative days 3 and 9 (P < 0.05). Conclusions: In conclusion, preoperative infiltration of both dexamethasone and bupivacaine showed a significantly better analgesic effect than did infiltration of bupivacaine or dexamethasone alone in the spared nerve injury model, especially early on after surgery.

• Molecules and Cells
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• v.25 no.4
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• pp.531-537
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• 2008

Abnormal activation of nuclear factor kappa B ($NF-{\kappa}B$) probably plays an important role in the pathogenesis of Duchenne's muscular dystrophy (DMD). In this report, we evaluated the efficacy of curcumin, a potent $NF-{\kappa}B$ inhibitor, in mdx mice, a mouse model of DMD. We found that it improved sarcolemmic integrity and enhanced muscle strength after intraperitoneal (i.p.) injection. Histological analysis revealed that the structural defects of myofibrils were reduced, and biochemical analysis showed that creatine kinase (CK) activity was decreased. We also found that levels of tumor necrosis factor alpha ($TNF-\alpha$), interleukin-1 beta ($IL-1\beta$) and inducible nitric oxide synthase (iNOS) in the mdx mice were decreased by curcumin administration. EMSA analysis showed that $NF-{\kappa}B$ activity was also inhibited. We thus conclude that curcumin is effective in the therapy of muscular dystrophy in mdx mice, and that the mechanism may involve inhibition of $NF-{\kappa}B$ activity. Since curcumin is a non-toxic compound derived from plants, we propose that it may be useful for DMD therapy.