• Title/Summary/Keyword: Medical model

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Fibromyalgia diagnostic model derived from combination of American College of Rheumatology 1990 and 2011 criteria

  • Ghavidel-Parsa, Banafsheh;Bidari, Ali;Hajiabbasi, Asghar;Shenavar, Irandokht;Ghalehbaghi, Babak;Sanaei, Omid
    • The Korean Journal of Pain
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    • v.32 no.2
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    • pp.120-128
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    • 2019
  • Background: We aimed to explore the American College of Rheumatology (ACR) 1990 and 2011 fibromyalgia (FM) classification criteria's items and the components of Fibromyalgia Impact Questionnaire (FIQ) to identify features best discriminating FM features. Finally, we developed a combined FM diagnostic (C-FM) model using the FM's key features. Methods: The means and frequency on tender points (TPs), ACR 2011 components and FIQ items were calculated in the FM and non-FM (osteoarthritis [OA] and non-OA) patients. Then, two-step multiple logistic regression analysis was performed to order these variables according to their maximal statistical contribution in predicting group membership. Partial correlations assessed their unique contribution, and two-group discriminant analysis provided a classification table. Using receiver operator characteristic analyses, we determined the sensitivity and specificity of the final model. Results: A total of 172 patients with FM, 75 with OA and 21 with periarthritis or regional pain syndromes were enrolled. Two steps multiple logistic regression analysis identified 8 key features of FM which accounted for 64.8% of variance associated with FM group membership: lateral epicondyle TP with variance percentages (36.9%), neck pain (14.5%), fatigue (4.7%), insomnia (3%), upper back pain (2.2%), shoulder pain (1.5%), gluteal TP (1.2%), and FIQ fatigue (0.9%). The C-FM model demonstrated a 91.4% correct classification rate, 91.9% for sensitivity and 91.7% for specificity. Conclusions: The C-FM model can accurately detect FM patients among other pain disorders. Re-inclusion of TPs along with saving of FM main symptoms in the C-FM model is a unique feature of this model.

Pharmacological interactions between intrathecal pregabalin plus tianeptine or clopidogrel in a rat model of neuropathic pain

  • Lee, Hyung Gon;Kim, Yeo Ok;Choi, Jeong Il;Han, Xue Hao;Shin, Yang Un;Yoon, Myung Ha
    • The Korean Journal of Pain
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    • v.35 no.1
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    • pp.59-65
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    • 2022
  • Background: There is still unmet need in treating neuropathic pain and increasing awareness regarding the use of drug combinations to increase the effectiveness of treatment and reduce adverse effects in patients with neuropathic pain. Methods: This study was performed to determine the individual and combined effects of pregabalin, tianeptine, and clopidogrel in a rat model of neuropathic pain. The model was created by ligation of the L5-L6 spinal nerve in male Sprague-Dawley rats; mechanical allodynia was confirmed using von Frey filaments. Drugs were administered to the intrathecal space and mechanical allodynia was assessed; drug interactions were estimated by isobolographic or fixed-dose analyses. Results: Intrathecal pregabalin and tianeptine increased the mechanical withdrawal threshold in a dose-dependent manner, but intrathecal clopidogrel had little effect on the mechanical withdrawal threshold. An additive effect was noted between pregabalin and tianeptine, but not between pregabalin and clopidogrel. Conclusions: These findings suggest that intrathecal coadministration of pregabalin and tianeptine effectively attenuated mechanical allodynia in the rat model of neuropathic pain. Thus, pregabalin plus tianeptine may be a valid option to enhance the efficacy of neuropathic pain treatment.

A Study on the Establishment of Integrated Health Information Service Model of Public Libraries

  • Noh, Younghee;Baek, Min-Kyung;Ro, Ji-Yoon
    • International Journal of Knowledge Content Development & Technology
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    • v.12 no.2
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    • pp.57-75
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    • 2022
  • Currently, it is not easy for most domestic public libraries to collect and provide reliable health information services on their own. Health information is distributed or professional, making it inconvenient for users to use. Based on the implications derived from the case study, the Library Health Information Integration Service Model was proposed as a specialized information service. The model consists of a composition shared by librarians, health and medical experts, and users, focusing on library websites that provide integrated health information integration services, and has the following features. First, it provides health and medical information on a specialized subject. Second, it provides integrated health and medical information services provided in various ways. Third, librarians and health and medical experts work together to provide information services. Fourth, users can freely use health information integration services online and offline. The model presented in this study means that libraries can play a leading role in health information integration services to increase the utilization rate of public libraries and further contribute to librarians serving as experts in health information services.

Human Normalization Approach based on Disease Comparative Prediction Model between Covid-19 and Influenza

  • Janghwan Kim;Min-Yong Jung;Da-Yun Lee;Na-Hyeon Cho;Jo-A Jin;R. Young-Chul Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.32-42
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    • 2023
  • There are serious problems worldwide, such as a pandemic due to an unprecedented infection caused by COVID-19. On previous approaches, they invented medical vaccines and preemptive testing tools for medical engineering. However, it is difficult to access poor medical systems and medical institutions due to disparities between countries and regions. In advanced nations, the damage was even greater due to high medical and examination costs because they did not go to the hospital. Therefore, from a software engineering-based perspective, we propose a learning model for determining coronavirus infection through symptom data-based software prediction models and tools. After a comparative analysis of various models (decision tree, Naive Bayes, KNN, multi-perceptron neural network), we decide to choose an appropriate decision tree model. Due to a lack of data, additional survey data and overseas symptom data are applied and built into the judgment model. To protect from thiswe also adapt human normalization approach with traditional Korean medicin approach. We expect to be possible to determine coronavirus, flu, allergy, and cold without medical examination and diagnosis tools through data collection and analysis by applying decision trees.

A Design of Service Improvement Model for Emergency Medical System using Augmented Reality (증강현실을 이용한 응급환자 의료서비스 향상 모델 설계)

  • Jeong, Yoon-Su;Kim, Yong-Tae;Park, Gil-Cheol
    • Journal of Convergence for Information Technology
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    • v.7 no.1
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    • pp.17-24
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    • 2017
  • In the medical field, augmented reality is being used for surgical and medical education. However, augmented reality technology is not applied to emergency patients. In this paper, we propose a medical service support model that can support rapid medical service to emergency patients through an augmented reality - based IT device. The proposed model has the function of collecting the information necessary for the first aid simply through the IT equipment based on the reality of reality, and also receiving the first aid method appropriate for the emergency situation to the medical staff and supporting the service. In addition, the proposed model hierarchically collects information related to emergency patient information inquiry, emergency patient status and emergency treatment based on Analytic Hierarchy Process (AHP). The collected information uses a pair of comparison matrices to compensate for the ambiguity between the information. In particular, the collected information is stored in the server of the medical staff, and in addition to the unique information of the collected information, the collected information can be reflected in the medical service of the medical staff.

Program design of the education subject curriculum by the department of emergency medical technology based on National Competency Standards key competencies (NCS 직업기초능력 기반 응급구조(학)과 교양 교과목 편성 연구)

  • Hong, Sung-Gi;Koh, Bong-Yeun;Kim, Soo-Tae
    • The Korean Journal of Emergency Medical Services
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    • v.20 no.3
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    • pp.37-47
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    • 2016
  • Purpose: The purpose of the study was to establish an education curriculum subject program design for the department of emergency medical technology based on National Competency Standards (NCS) key competencies. Methods: A self-reported questionnaire was completed by 180 level 1 emergency medical technicians in K area from June 15 to 20, 2016. Except for 14 incomplete questionnaires, 141 data were analyzed. The study instrument included general characteristics of the subjects (7 items) and importance and satisfaction levels for 10 key competencies including 34 items of subfactors by a Likert 5-point scale using Borich Needs Assessment Model. A locus for focus model (LF model) was used to derive the top priority key competencies for the education curriculum. Data were analyzed by SPSS v. 20.0. Results: The order of education needs of the program included interpersonal competency (1.442), communication competency (1.384), problem solving competency (1.185) and professional ethics competency (1.149). In the LF model, the required jey competencies included interpersonal competency, communication competency, professional ethics competency, and problem solving competency. Conclusion: The study results coincided with standard education curriculum guidelines. Our resluts can provide a valid reference for the department of emergency medical technology.

Alteration of TGFB1, GDF9, and BMPR2 gene expression in preantral follicles of an estradiol valerate-induced polycystic ovary mouse model can lead to anovulation, polycystic morphology, obesity, and absence of hyperandrogenism

  • Asghari, Reza;Shokri-Asl, Vahid;Rezaei, Hanieh;Tavallaie, Mahmood;Khafaei, Mostafa;Abdolmaleki, Amir;Seghinsara, Abbas Majdi
    • Clinical and Experimental Reproductive Medicine
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    • v.48 no.3
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    • pp.245-254
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    • 2021
  • Objective: In humans, polycystic ovary syndrome (PCOS) is an androgen-dependent ovarian disorder. Aberrant gene expression in folliculogenesis can arrest the transition of preantral to antral follicles, leading to PCOS. We explored the possible role of altered gene expression in preantral follicles of estradiol valerate (EV) induced polycystic ovaries (PCO) in a mouse model. Methods: Twenty female balb/c mice (8 weeks, 20.0±1.5 g) were grouped into control and PCO groups. PCO was induced by intramuscular EV injection. After 8 weeks, the animals were killed by cervical dislocation. Blood serum (for hormonal assessments using the enzyme-linked immunosorbent assay technique) was aspirated, and ovaries (the right ovary for histological examinations and the left for quantitative real-time polymerase) were dissected. Results: Compared to the control group, the PCO group showed significantly lower values for the mean body weight, number of preantral and antral follicles, serum levels of estradiol, luteinizing hormone, testosterone, and follicle-stimulating hormone, and gene expression of TGFB1, GDF9 and BMPR2 (p<0.05). Serum progesterone levels were significantly higher in the PCO animals than in the control group (p<0.05). No significant between-group differences (p>0.05) were found in BMP6 or BMP15 expression. Conclusion: In animals with EV-induced PCO, the preantral follicles did not develop into antral follicles. In this mouse model, the gene expression of TGFB1, GDF9, and BMPR2 was lower in preantral follicles, which is probably related to the pathologic conditions of PCO. Hypoandrogenism was also detected in this EV-induced murine PCO model.

Decision making model for introducing Medical information system based on Block chain Technologies (블록체인 기반 의료정보시스템 도입을 위한 의사결정모델)

  • Zheng, Yajun;Kim, Keun Hyung
    • The Journal of Information Systems
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    • v.29 no.1
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    • pp.93-111
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    • 2020
  • Purpose The purpose of this paper is to observe the relative priorities of importances among the modified versions of Block chain system, being based on AHP decision support model which should be also proposed in this paper. Design/methodology/approach Four versions modified from the beginning of Block chain were divided into Public& Permissionless, Private&Permissionless, Public&Permissioned and Private&Permissioned types. Five criteria for evaluating the four versions whether the version were suitable for Medical information system were introduced from five factors of Technologies Accept Model, which were Security, Availability, Variety, Reliability and Economical efficiency. We designed Decision support model based on AHP which would select the best alternative version suitable for introducing the Block chain technology into the medical information systems. We established the objective of the AHP model into finding the best choice among the four modified versions. First low layer of the model contains the five factors which consisted of Security, Availability, Variety, Reliability and Economical efficiency. Second low layer of the model contains the four modified versions which consisted Public&Permissionless, Private&Permissionless, Public&Permissioned and Private& Permissioned types. The structural questionnaire based on the AHP decision support model was designed and used to survey experts of medical areas. The collected data by the question investigation was analyzed by AHP analysis technique. Findings The importance priority of Security was highest among five factors of Technologies Accept Mode in the first layer. The importance priority of Private&Permissioned type was highest among four modified versions of Block chain technologies in second low layer. The second importance priority was Private&Permissionless type. The strong point of Private&Permissioned type is to be able to protect personal information and have faster processing speeds. The advantage of Private& Permissionless type is to be also able to protect personal information as well as from forging and altering transaction data. We recognized that it should be necessary to develop new Block chain technologies that would enable to have faster processing speeds as well as from forging and altering transaction data.

Adapting an Integrated Program Evaluation for Promoting Competency-Based Medical Education (역량바탕의학교육을 촉진하기 위한 교육평가: 통합평가모형 적용)

  • Ju, Hyunjung;Oh, Minkyung;Lee, Jong-Tae;Yoon, Bo Young
    • Korean Medical Education Review
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    • v.23 no.1
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    • pp.56-67
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    • 2021
  • Educational program evaluation can improve the quality of the curriculum, instructional methods, and resources and provide useful data for making educational decisions and policies. Developing and implementing a program evaluation system is essential in competency-based medical education. The purpose of this study was to explore and establish an educational program evaluation system adapting an integrated program evaluation model to promote competency-based medical education. First, an Educational Evaluation Committee was organized, consisting of faculty, staff members, and students. The committee established an integrated program evaluation model, combining Stufflebeam's Context, Input, Process, and Product (CIPP) model of a process-oriented approach and Kirkpatrick's four-level model of an outcome-oriented approach. Kirkpatrick's model was applied to the product evaluation of the CIPP model. The committee then developed evaluation criteria, indicators, and data collection methods according to the components of the CIPP model and the four levels (reaction, learning, behavior, and results) of Kirkpatrick's model, and collected and analyzed data. Finally, the committee reported the results of evaluation to a Medical Education Quality Improvement Committee, and the results were used to improve the curriculum and student selection. To enhance the quality of education, identifying educational deficiencies and developing various elements of education in a balanced way through educational evaluation will be needed. Furthermore, it will be necessary to listen to opinions of various stakeholders, work with all members involved in education, and communicate with decision-makers in the process of educational evaluation.

Analysis of factors affecting Korean Medicine utilization of multicultural family members (다문화가정의 한의의료이용에 미치는 요인 분석 연구)

  • Song, Minsun;Choi, Chanhun;Kim, Dongsu
    • The Journal of Korean Medicine
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    • v.43 no.1
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    • pp.60-72
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    • 2022
  • Objectives: This study aimed to analyze the Korean medical utilization and Korean medical expenses by characteristics of multicultural family members to investigate whether it affects Korean medical utilization. Methods: This study utilized The Korea Health Panel data in 2018, with 238 final participants. We performed a t-test and ANOVA on the difference between Korean medical utilization and Korean medical expenses according to Anderson's Model of Health Service Utilization variables. Logistic regression analysis and generalized linear model analysis were conducted to analyze Korean medical utilization factors. Results: The Korean Medical utilization was 12.61% among the multicultural family members. As a result of regression analysis, the female had high Korean medical utilization(p=.008), and rural area residents had low utilization(p=.017). Korean medical expenses were high when they were female or married. Including the utilization of western medical services by outpatients, Korean medical expenses were high when they were female or outpatients who received western medical services. Conclusions: As a result of this study, the factors influencing Korean medical utilization were gender and residence area. There were differences in Korean medical expenses depending on western medical services use or gender. Therefore, it is necessary to use these factors to expand the Korean Medical utilization by multicultural family members, and research of the Korean medical utilization by disease is needed.