• Title/Summary/Keyword: Digital Disease

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The Effects of Digital Therapy for Stroke Patients in Korea: Meta-analysis (국내 뇌졸중 환자를 위한 디지털 치료의 효과: 메타분석)

  • Jae-Hun Jung
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.4
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    • pp.1-15
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    • 2023
  • Purpose : This study investigates the effectiveness of digital therapy for stroke patients in Korea. Methods : A comprehensive database search was performed using KCI, Science on, e-article, RISS, KISS and Korea OpenMed databases for randomized controlled trials (RCTs) that studied the effects of digital therapy on patients who had a stroke. This study includes RCTs published from January 2000 to July 15, 2022, which fulfilled the inclusion and exclusion criteria. A total 697 studies were screened and 30 studies were included in the final analysis. Methodological quality was assessed with the Cochrane's RoB (risk of bias) tool. Meta-analysis was performed using CMA 4.0 software. Results : A total of 56 effect sizes were calculated from the 30 selected studies. As a result of the analysis, the overall effect size of digital therapy was .59 (95 % CI=.43-.74). When classified according to type of intervention, VR (virtual reality) (g=.58, 95 % CI=.40-.75), and CACR (computer assisted cognitive rehabilitation) (g=.62, 95 % CI=.30-.95) were statistically significant. VR showed medium to large effect sizes in cognitive function (g=.78, 95 % CI=.20-1.37), psychosocial function (g=.63, 95 % CI=.20-1.07), and physical function (g=.61, 95 % CI=.38-.83). In the CACR, there was a large effect size in cognitive function (g=.84, 95 % CI=.52-1.15), but there was no significant difference in psychosocial function. Also, there was no significant difference between the two interventions in activities of daily living and no significant difference in the effect size of both interventions according to the intervention session. Furthermore, medium to large effect sizes were found for subacute and chronic stroke patients according to the duration of disease. Conclusion : This study presents evidence that digital therapy has a positive effect on various functions of stroke patients in Korea. The researchers expect to actively accept the new paradigm of digital therapy and continue to apply digital therapy in clinical practice.

A Study on the Education Needs for Health Promotion and Chronic Disease Management for Well-Aging (웰에이징을 위한 건강증진 및 만성질환 관리 교육요구도 조사)

  • Lim, HyoNam;Kim, Yong-Ha;Lee, Chong-Hyung;Song, Hyeon-Dong;Hwang, Hey-Jeong;Kim, Kwang-Hwan
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.205-215
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    • 2021
  • This study was conducted to provide basic data to establish health promotion and chronic disease management education programs and educational plans for well-aging by investigating the educational needs for health promotion and chronic disease management by life cycle. This is a descriptive correlation research study, and collected and analyzed through a structured questionnaire targeting 330 adults over 19 years of age registered at Gallup Korea. The results of the study were perceived health status 3.11 points (SD=.72), health promotion behavior 2.27 points (SD=.47), and health-related quality of life 0.92 points (SD=.10). Health-related quality of life was found to have a positive correlation with perceived health status (r=.472, p<.001) and health promotion behavior (r=.122, p<.026). The priority of educational needs and contents for health promotion and chronic disease management was the highest in chronic disease management. There was a significant difference according to the life cycle (p=0.001), and it was found that the mature stage was more likely to be aware of the level of knowledge, the need for education, and the willingness to participate in education compared to the youth. Through the results of this study, it is necessary to develop a comprehensive customized program that is subdivided according to the life cycle when developing health promotion and chronic disease management education programs for well-aging.

A Case of Pachydermoperiostosis (경피골막증: 증례보고)

  • Nam, Young O;Ko, Sung Hoon;Oh, Suk Joon
    • Archives of Plastic Surgery
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    • v.35 no.3
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    • pp.316-320
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    • 2008
  • Purpose: Pachydermoperiostosis is a rare hereditary disease characterized by finger clubbing, periosteal reaction, and pachydermia. The underlying pathogenic mechanism of this disease remains unclear. This disease is known to be associated with a variety of diseases such as cranial suture defect, bone marrow failure, hypertrophic gastropathy, Crohn's disease, and female escuchen. Methods: A 50-year-old male had digital clubbing of both hands, coarse hypertrophic skin changes of face, progressive thickening and furrowing on the scalp(cutis verticis gyrata), persistent pain in the limbs and joints. Other cutaneous features include moderate blepharoptosis, pole-like lower legs and feet. Results: We performed surgical excision for hypertrophic skin change of scalp because of frequent eczematous skin change, severe itching sensation and cosmetic problem. Diagnosis is confirmed by bony proliferative periosteal reaction, pathologic findings, and characteristic clinical findings. Conclusion: Pachydermoperiostosis is manifested by finger clubbing, and hypertrophic skin changes causing coarse facial features with thickening and periosteal bone formation. We experienced a case of pachydermoperiostosis. Brief review of related literature is given.

A Comparative Study of Alzheimer's Disease Classification using Multiple Transfer Learning Models

  • Prakash, Deekshitha;Madusanka, Nuwan;Bhattacharjee, Subrata;Park, Hyeon-Gyun;Kim, Cho-Hee;Choi, Heung-Kook
    • Journal of Multimedia Information System
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    • v.6 no.4
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    • pp.209-216
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    • 2019
  • Over the past decade, researchers were able to solve complex medical problems as well as acquire deeper understanding of entire issue due to the availability of machine learning techniques, particularly predictive algorithms and automatic recognition of patterns in medical imaging. In this study, a technique called transfer learning has been utilized to classify Magnetic Resonance (MR) images by a pre-trained Convolutional Neural Network (CNN). Rather than training an entire model from scratch, transfer learning approach uses the CNN model by fine-tuning them, to classify MR images into Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal control (NC). The performance of this method has been evaluated over Alzheimer's Disease Neuroimaging (ADNI) dataset by changing the learning rate of the model. Moreover, in this study, in order to demonstrate the transfer learning approach we utilize different pre-trained deep learning models such as GoogLeNet, VGG-16, AlexNet and ResNet-18, and compare their efficiency to classify AD. The overall classification accuracy resulted by GoogLeNet for training and testing was 99.84% and 98.25% respectively, which was exceptionally more than other models training and testing accuracies.

The Change of Pain in Tonsillar Disease Estimated by DITI (적외선 촬영으로 측정한 편도질환에서의 통증변화)

  • 임대준;김동욱;강성호;김보형;이근수
    • Korean Journal of Bronchoesophagology
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    • v.6 no.2
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    • pp.152-158
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    • 2000
  • Backgroud and Objectives: Because the pain is subjective in human, we frequently need the objective tool for estimation of pain. The Visual Analog Scale (VAS) is a method for pain grading, but it is also a subjective method. The purpose of this study is to seek an objective method for measurement of pain. Author suggests that the estimation of local body temperature may be associated with the severity of pain in tonsillar disease and the change of it measured by Digital Infrared Thermographic Imaging (DITI), may also be correlated with the change of pain. Materials and Method : Four groups were selected and measured for VAS and body temperature in DITI. Group A and B were post-tonsillectomy groups divided by age. Group C was acute tonsillitis group. Group D was peritonsillar abscess group. Results : In Group A and B, the subjective VAS was significantly correlated with objective local body temperature (correlation coefficient r=0.673, 0.647) and significant correlation was also present in acute tonsillitis and peritonsillar abscess groups(r=0.596,0.642). Conclusion : The change of pain was strongly associated with that of local body temperature in tonsillar disease. DITI is a useful method for objective grading of pain and can be used for the study of postoperatve pain and effectiveness of pain control.

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Herbal Medicine for the Treatment of Non-Erosive Reflux Disease: A Systematic Review and Meta-Analysis Protocol

  • Minjeong Kim;Chaehyun Park;Jae-Woo Park;Jinsung Kim;Seok-Jae Ko
    • The Journal of Internal Korean Medicine
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    • v.44 no.6
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    • pp.1176-1185
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    • 2023
  • Introduction: Non-erosive reflux disease (NERD) is the most common subtype of gastroesophageal reflux disease (GERD). This study aims to synthesize evidence on the efficacy and safety of various herbal medicines for the treatment of NERD. Methods and analysis: Ten electronic databases will be examined: MEDLINE (via PubMed), Cochrane Central Register of Controlled Trials, Embase, Allied and Complementary Medicine Database, China National Knowledge Infrastructure Database, Citation Information by Nii, Korean Medical Database, Korean Studies Information Service System, National Digital Science Library, and Oriental Medicine Advanced Searching Integrated System. All randomized controlled trials published from inception to May 2023 that meet the eligibility criteria will be selected. Two independent researchers will extract data, such as publication year, study design, intervention details, outcome measures, main results, and adverse events. The risk of bias and quality of evidence will be assessed, and subgroup analyses will be performed according to the type of control intervention and herbal medicine. The analysis process will be conducted using Review Manager 5.4 software. Discussion: This review will present a summary and rationale for herbal medicine's effectiveness in treating NERD. The findings of this review can help those who want to apply herbal medicine to the treatment of NERD.

Analyses of the Studies on Cardiovascular Disease-Specific Quality of Life Reported in Korea (심혈관질환자 삶의 질에 대한 국내 연구논문 분석)

  • Lee, Eun-Hyun;Tak, Seung Jai;Song, Yeoungsuk
    • Korean Journal of Adult Nursing
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    • v.17 no.3
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    • pp.452-463
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    • 2005
  • Purpose: The purpose of the present study was to analyze and evaluate prior studies published in Korea on the cardiovascular disease-related quality of life, in order to make recommendations for further research. Methods: A total of 15 studies were selected from four databases(Digital library of Research Information Center for Health, Korea Medical Database, MedRic, and National Assembly Library). The selected studies were analyzed according to criteria, such as diagnosis/operation, used instrument, generic/specific instrument, dimension of quality of life, translation/ back-translation, sample size, reliability, validity, responsiveness, number of items, type of scale, time required, and independent variables. Results: Of the 15 cardiovascular disease-related quality of life studies, approximately half of them were conducted with hypertension or ischemic heart disease patients. All studies asserted that the concept of quality of life had multidimensional attributes. With respect to the questionnaire used for measuring the quality of life, only one study used a cardiovascular disease specific-instrument and most studies did not consider whether or not the validity of their instrument had been established. In addition, when using questionnaires developed in other languages, only one study employed a translation/back-translation technique. The types of variables tested for their influence on quality of life were quite limited. Conclusion: It is recommended to develop a reliability and validity established cardiovascular disease specific-quality of life for Korean patients and to identify associated new variables.

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Disease Prediction of Depression and Heart Trouble using Data Mining Techniques and Factor Analysis (데이터마이닝 기법 및 요인분석을 이용한우울증 및 심장병 질환 예측)

  • Yousik Hong;Hyunsook Lee;Sang-Suk Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.127-135
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    • 2023
  • Nowadays, the number of patients committing suicide due to depression and stress is rapidly increasing. In addition, if stress and depression last for a long time, they are dangerous factors that can cause heart disease, brain disease, and high blood pressure. However, no matter how modern medicine has developed, it is a very difficult situation for patients with depression and heart disease without special drugs or treatments. Therefore, in many countries around the world, studies are being actively conducted to determine patients at risk of depression and patients at risk of suicide at an early stage using electrocardiogram, oxygen saturation, and brain wave analysis functions. In this paper, in order to analyze these problems, a computer simulation was performed to determine heart disease risk patients by establishing heart disease hypothesis data. In particular, in order to improve the predictive rate of heart disease by more than 10%, a simulation using fuzzy inference was performed.

U-Health Platform based Health Management Service Model using Context Information (유헬스 플랫폼 기반의 상황정보를 활용한 건강관리 서비스 모델)

  • Kim, Jae-Kwon;Kim, Jong-Hun;Park, Dong-Kyun;Lee, Young-Ho
    • Journal of Digital Convergence
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    • v.10 no.8
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    • pp.185-192
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    • 2012
  • Globally, U-health services have been increased according to the increase in interests on health managing and the development of information communication technology (ICT) based on increases in advanced ages and chronic disease. Exiting U-health services provide required services and health information monitoring only through counsels and that represent limitations in preventing and managing cardiovascular disease patients like chronic patients. In this paper, we propose of U-health platform based health management service model using context information. In our service model can provide health monitoring, diet, and exercise service using context information of clinical information and wether in U-health platform environment. Service to offer is the specialized service using external content provider of DB. in addition to, doctor can to provide advice information to patient using monitoring service. The proposed service model provides effective services using context information in U-health platform environments to customers and that will improve the health of chronic patients.

Dementia Classification by Distance Analysis from the Central Coronal Plane of the Brain Hippocampus (뇌 해마의 관상면 중심점으로부터 거리분석에 따른 치매분류)

  • Choi, Boo-Kyeong;So, Jae-Hong;Son, Young-Ju;Madusanka, Nuwan;Choi, Heung-Kook
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.147-157
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    • 2018
  • Alzheimer's disease has the significant factors for the both specific and characteristic features according to the disease progressing that are the volumetry and surface area by the brain hippocampus shrinking and thinning. However, we have suggested a shape analysis to calculate the variance by the roughness, coarseness or uneven surface on 3D MR images. For the reasons we have presented two methods: the first method is the distance calculation from major axis to edge points and the second method is the distance calculation from centroidal point to edge points on a coronal plane. Then we selected the shortest distance and the longest distance in each slice and analyzed the ANOVA and average distances. Consequently we obtained the available and great results by the longest distance of the axial and centroidal point. The results of average distances were 44.85(AD), 45.04(MCI) and 49.31(NC) from the axial points and 39.30(AD), 39.58(MCI) and 44.78(NC) from centroidal points respectively. Finally the distance variations for the easily recognized visualization were shown by the color mapping. This research could be provided an indicator of biomarkers that make diagnosis and prognosis the Alzheimer's diseases in the future.