• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.1-6
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• 2021

Recently, pre-trained convolutional neural network CNNs have been widely used and applied for medical image classification. These models can utilised in three different ways, for feature extraction, to use the architecture of the pre-trained model and to train some layers while freezing others. In this study, the ResNet18 pre-trained CNNs model is used for feature extraction, followed by the support vector machine for multiple classes to classify medical images from multi-classes, which is used as the main classifier. Our proposed classification method was implemented on Kvasir and PH2 medical image datasets. The overall accuracy was 93.38% and 91.67% for Kvasir and PH2 datasets, respectively. The classification results and performance of our proposed method outperformed some of the related similar methods in this area of study.

• 여성건강간호학회지
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• 제21권3호
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• pp.171-183
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• 2015

Purpose: The purpose of this study was to explore the perception of infertile women on the use of the national support program that provides medical expense aid to infertile couples. Methods: Thirty Korean infertile women participated in five focus groups. Data were collected from January to August 2014. After obtaining permission from the participants, each session of the focus group was audio-taped and transcribed. The responses were analyzed using qualitative content analysis. Results: The main themes identified from the sessions with the participants were "feeling thankful for the reliable support program," "feeling happy or unhappy," "enduring inconveniences," and "hoping for a more comprehensive support service." Although most of the participants perceived the benefits of the national support service positively, they stated that the service was not comprehensive because it did not cover all the medical expenses for tests and other medical treatments. Conclusion: The benefits given to infertile couples by the program should be increased by covering all the medical expenses, expanding its criteria to include more eligible candidates, and by including special leave benefits for working women. Furthermore, it is essential to take measures for infertility prevention at the individual and national policy levels.

• Journal of Information Processing Systems
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• 제13권6호
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• pp.1496-1515
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• 2017

One of the most visible developments in Decision Support Systems (DSS) was the emergence of rule-based expert systems. Hence, despite their success in many sectors, developers of Medical Rule-Based Systems have met several critical problems. Firstly, the rules are related to a clearly stated subject. Secondly, a rule-based system can only learn by updating of its rule-base, since it requires explicit knowledge of the used domain. Solutions to these problems have been sought through improved techniques and tools, improved development paradigms, knowledge modeling languages and ontology, as well as advanced reasoning techniques such as case-based reasoning (CBR) which is well suited to provide decision support in the healthcare setting. However, using CBR reveals some drawbacks, mainly in its interrelated tasks: the retrieval and the adaptation. For the retrieval task, a major drawback raises when several similar cases are found and consequently several solutions. Hence, a choice for the best solution must be done. To overcome these limitations, numerous useful works related to the retrieval task were conducted with simple and convenient procedures or by combining CBR with other techniques. Through this paper, we provide a combining approach using the multi-criteria analysis (MCA) to help, the traditional retrieval task of CBR, in choosing the best solution. Afterwards, we integrate this approach in a decision model to support medical decision. We present, also, some preliminary results and suggestions to extend our approach.

• 대한융합한의학회지
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• 제6권1호
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• pp.37-42
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• 2024

Objectives: This study aims to evaluate the clinical validity of the system by conducting a clinical study to assess the diagnostic agreement between the system and Korean medical doctors. Methods: This study was conducted from September 7, 2023, to December 7, 2023, across five Korean medicine institutions, involving 100 adult participants aged 20-64 who consented to participate. Participants first entered their symptoms into a web-based program, which utilized an AI-based algorithm to diagnose 36 types of pattern differentiation. Subsequently, Korean medical doctors conducted face-to-face diagnoses using the same 36 types. The diagnostic agreement between the system and the doctors' diagnoses was analyzed using descriptive statistical analysis, and the results were expressed as a percentage agreement. Results: Analysis of the diagnostic data from 100 participants revealed that the web-based diagnosis support system identified an average of 7.76±0.79 patterns per patient, while Korean medical doctors identified an average of 7.99±0.10 patterns per patient. The diagnostic agreement between the system and the doctors showed an average of 7.08±1.08 patterns per patient, with an overall diagnostic agreement rate of 88.57±13.31%. Conclusion: This study developed a web-based diagnosis support system for traditional Korean medicine and evaluated its clinical validity by assessing diagnostic agreement. Comparing the diagnoses of the system with those of Korean medical doctors for 100 patients, the system showed an approximately 89% agreement rate with the clinical diagnoses. The system holds potential for aiding Korean medical doctors in pattern differentiation diagnosis in clinical practice.

• 의학교육논단
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• 제24권3호
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• pp.179-179
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• 2022

• 보건행정학회지
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• 제11권1호
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• pp.62-86
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• 2001

This study purports to Investigate the determinant of job satisfaction and the organizational commitment of medical insurance review nurses working at Korean hospitals. The independent variables contain three groups of determinants: organizational characteristics variables(job autonomy, work unit control, role variety, role ambiguity, role conflict, workload, resource inadequacy, coworker support, supervisor support, distributive justice, promotional chances, job security, and job hazard), environmental variables(job opportunity, spouse support, and parent support), and psychological variables (met expectation, work involvement, positive affectivity, and negative affectivity). The sample used in this study consisted of 445 medical insurance review nurses from 89 hospitals nationwide. Data were collected with self-administered questionnaires and analyzed using multiple regression analysis. The results of the study are as follows : 1) the following variables, listed in order of size, have significant effects on job satisfaction : role ambiguity(－), distributive justice(＋), work involvement(＋), role variety(＋), met expectation(＋), negative affectivity(－), job autonomy(＋), and positive affectivity(＋). 2) the following variables, listed in order of size, have significant effects on organizational commitment: met expectation(＋), work involvement(.＋), distributive justice(＋), job security(＋), role variety(＋), positive affectivity(＋), negative affectivity(－), resource inadequacy(＋), and tenure(－). 3) the variance of job satisfaction and organizational commitment explained by the variables used in the study are 30.0% and 39.1% respectively. 4) In comparison to the results of other studies on the determinants of job satisfaction and organizational commitment of clinical nursing staff working at hospitals, the results of this study indicate that three variables of distributive justice, work involvement, and role variety are especially important for improving the level of job satisfaction and organizational commitment of medical insurance review nurses.

• 의학교육논단
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• 제24권3호
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• pp.215-230
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• 2022

The purpose of this study was to explore the psychosocial characteristics of academically maladjusted students and the College's current status regarding academic maladjustment based on 4-year medical student cohort data collected from 2018 to 2021 and through interviews with 10 medical education experts using the integrated research method. This study included 223 students who consented to inclusion in the student cohort and participated in the emotional behavior test and college adaptability test of whom 65 students experienced academic maladjustment. Academically maladjusted students had significantly higher scores for social stress, anxiety, sense of inadequacy, attention, hyperactivity, and school maladjustment, and significantly lower scores for relationships with parents, interpersonal relationships, self-esteem, self-confidence, and self-strength. Academic and social integrity, emotional stability, university satisfaction, and university service satisfaction were all significantly lower in the academically maladjusted students than in the non-maladjusted group. The expert interviews indicated that academic maladjustment was mainly recognized as a personal problem, with causes such as lack of motivation and learning methods, vulnerability to stress, lack of social relationships and alienation, lack of support from the family, and insufficient resilience. Systematic support other than counseling for academically maladjusted students is required, and an early diagnosis and preventive intervention are important.

• 한국병원경영학회지
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• 제20권3호
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• pp.64-73
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• 2015

Medical tourism in Korea has been rapidly grown for last couple of years, based on exclusive support from Korean government. About 60,000 foreign patients received medial services in 2009, an initial stage of entering medical tourism business, and the number of foreign patients received medical services in Korea hiked to more than 266 thousands in 2014, which is showing 34.7% of annual average increase between 2009 and 2014. Diversification of target markets and service areas contributed on this remarkable growth. This paper describes current status of medical tourism in Korea as well as various supports from government for the growth of medical tourism. In addition, the paper presents approaches for brand marketing, by utilizing 7Ps, the marketing mix (a.k.a. service mix), in order to increase awareness and competitiveness of medical services of Korea in global market.

• 의학교육논단
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• 제25권3호
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• pp.243-257
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• 2023

This study aimed to analyze trends in research on depression among medical students in Korea and to conduct a meta-analysis to determine the average correlation coefficients between depression and related variables. In total, 38 quantitative studies (four theses and 34 journal articles) published between January 1995 and February 2023 were analyzed according to publication year, subjects, analysis methods, and measurement tools. Among them, 15 studies that provided numerical information on the relationships between depression and variables such as self-esteem, social support, grade point average (GPA), stress, and academic stress were selected for meta-analysis. The main findings of this study were as follows. First, quantitative research on depression among medical students began in earnest in 2009, and cross-sectional studies targeting first-year and second-year medical students were the most prevalent. Furthermore, the most commonly used analysis method was difference testing, and the Beck Depression Inventory was the most frequently used measurement tool. Second, the mean correlation coefficients between depression and stress, self-esteem, social support, academic stress, and GPA were 0.534, 0.532, 0.465, 0.390, and 0.102, respectively. The results for self-esteem, stress, and academic stress showed substantial heterogeneity, while those for social support and GPA showed little heterogeneity. These findings suggest that educational interventions, such as social support improvement programs, are necessary to prevent depression among medical students.

• 생물치료정신의학
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• 제24권3호
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• pp.184-193
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• 2018

Objectives : This study investigated the effects of social support and chronic medical conditions on depressive symptoms in elderly people living alone in a rural community. Methods : Sociodemographic information on 173 subjects aged 65 years or older who lived alone in a rural community and were recipients of National Basic Livelihood Security was collected and analyzed. All participants completed the Korean Form of the Geriatric Depression Scale and the Lubben Social Network Scale. Additionally, the current prevalence of chronic medical conditions that interfere with the activities of daily living was examined. Multiple logistic regression analysis was conducted to analyze the associations of social support and chronic medical conditions with depressive symptoms. Results : Social support(odds ratio: OR, 0.96; 95% confidence interval: 95% CI, 0.92-0.99) and chronic medical conditions(OR, 1.59; 95% CI, 1.23-2.05) were significantly associated with depressive symptoms in all subjects. When analyzed by gender, social support served as a protective factor against depressive symptoms in elderly men only(OR, 0.91; 95% CI, 0.83-0.99), and chronic medical conditions increased the risk of depressive symptoms in elderly women only(OR, 1.74; 95% CI, 1.26-2.40). Furthermore, osteoarthritis and lumbar pain were risk factors for depressive symptoms in all subjects(OR, 2.24; 95% CI, 1.10-4.56 and OR, 2.10; 95% CI, 1.08-4.12) and in elderly women(OR, 4.07; 95% CI, 1.68-9.84 and OR, 3.34; 95% CI, 1.47-7.57), respectively. Conclusion : This study indicates that improving the social support and managing the chronic medical conditions of elderly people living alone are important for the prevention of depression in this population. Additionally, the present results suggest that it is necessary to establish different depression-prevention strategies for elderly men and women living alone.