• Title/Summary/Keyword: Medical statistics

Search Result 2,028, Processing Time 0.029 seconds

Scientometrics-based R&D Topography Analysis to Identify Research Trends Related to Image Segmentation (이미지 분할(image segmentation) 관련 연구 동향 파악을 위한 과학계량학 기반 연구개발지형도 분석)

  • Young-Chan Kim;Byoung-Sam Jin;Young-Chul Bae
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.27 no.3
    • /
    • pp.563-572
    • /
    • 2024
  • Image processing and computer vision technologies are becoming increasingly important in a variety of application fields that require techniques and tools for sophisticated image analysis. In particular, image segmentation is a technology that plays an important role in image analysis. In this study, in order to identify recent research trends on image segmentation techniques, we used the Web of Science(WoS) database to analyze the R&D topography based on the network structure of the author's keyword co-occurrence matrix. As a result, from 2015 to 2023, as a result of the analysis of the R&D map of research articles on image segmentation, R&D in this field is largely focused on four areas of research and development: (1) researches on collecting and preprocessing image data to build higher-performance image segmentation models, (2) the researches on image segmentation using statistics-based models or machine learning algorithms, (3) the researches on image segmentation for medical image analysis, and (4) deep learning-based image segmentation-related R&D. The scientometrics-based analysis performed in this study can not only map the trajectory of R&D related to image segmentation, but can also serve as a marker for future exploration in this dynamic field.

An Observational Multi-Center Study Protocol for Distribution of Pattern Identification and Clinical Index in Parkinson's Disease (파킨슨병 변증 유형 및 지표 분포에 대한 전향적 다기관 관찰연구 프로토콜)

  • HuiYan Zhao;Ojin Kwon;Bok-Nam Seo;Seong-Uk Park;Horyong Yoo;Jung-Hee Jang
    • The Journal of Internal Korean Medicine
    • /
    • v.45 no.1
    • /
    • pp.1-10
    • /
    • 2024
  • Objectives: This study investigated the pattern identification (PI) and clinical index of Parkinson's disease (PD) for personalized diagnosis and treatment. Methods: This prospective observational multi-center study recruited 100 patients diagnosed with PD from two Korean medicine hospitals. To cluster new subtypes of PD, items on a PI questionnaire (heat and cold, deficiency and excess, visceral PI) were evaluated along with pulse and tongue analysis. Gait analysis was performed and blood and feces molecular signature changes were assessed to explore biomarkers for new subtypes. In addition, unified PD rating scale II and III scores and the European quality of life 5-dimension questionnaire were assessed. Results: The clinical index obtained in this study analyzed the frequency statistics and hierarchical clustering analysis to classify new subtypes based on PI. Moreover, the biomarkers and current status of herbal medicine treatment were analyzed using the new subtypes. The results provide comprehensive data to investigate new subtypes and subtype-based biomarkers for the personalized diagnosis and treatment of PD patients. Ethical approval was obtained from the medical ethics committees of the two Korean medicine hospitals. All amendments to the research protocol were submitted and approved. Conclusions: An objective and standardized diagnostic tool is needed for the personalized treatment of PD by traditional Korean medicine. Therefore, we developed a clinical index as the basis for the PI clinical evaluation of PD. Trial Registration: This trial is registered with the Clinical Research Information Service (CRIS) (KCT0008677)

Generation of virtual mandibular first molar teeth and accuracy analysis using deep convolutional generative adversarial network (심층 합성곱 생성적 적대 신경망을 활용한 하악 제1대구치 가상 치아 생성 및 정확도 분석)

  • Eun-Jeong Bae;Sun-Young Ihm
    • Journal of Technologic Dentistry
    • /
    • v.46 no.2
    • /
    • pp.36-41
    • /
    • 2024
  • Purpose: This study aimed to generate virtual mandibular left first molar teeth using deep convolutional generative adversarial networks (DCGANs) and analyze their matching accuracy with actual tooth morphology to propose a new paradigm for using medical data. Methods: Occlusal surface images of the mandibular left first molar scanned using a dental model scanner were analyzed using DCGANs. Overall, 100 training sets comprising 50 original and 50 background-removed images were created, thus generating 1,000 virtual teeth. These virtual teeth were classified based on the number of cusps and occlusal surface ratio, and subsequently, were analyzed for consistency by expert dental technicians over three rounds of examination. Statistical analysis was conducted using IBM SPSS Statistics ver. 23.0 (IBM), including intraclass correlation coefficient for intrarater reliability, one-way ANOVA, and Tukey's post-hoc analysis. Results: Virtual mandibular left first molars exhibited high consistency in the occlusal surface ratio but varied in other criteria. Moreover, consistency was the highest in the occlusal buccal lingual criteria at 91.9%, whereas discrepancies were observed most in the occusal buccal cusp criteria at 85.5%. Significant differences were observed among all groups (p<0.05). Conclusion: Based on the classification of the virtually generated left mandibular first molar according to several criteria, DCGANs can generate virtual data highly similar to real data. Thus, subsequent research in the dental field, including the development of improved neural network structures, is necessary.

A study on the applications and prospects of big data in the field of digital dental healthcare (디지털 덴탈 헬스케어 분야에서의 빅데이터 활용 전망에 대한 연구)

  • Jae-Kyung Ryu;Nam-Joong Kim;So-Min Kim;Sun-Kyoung Lee
    • Journal of Technologic Dentistry
    • /
    • v.46 no.2
    • /
    • pp.42-48
    • /
    • 2024
  • Purpose: The purpose of this study is to investigate the applications and prospects of big data in digital dental healthcare. Methods: The study included 30 participants in the dental field (dentists, technicians, professors, and graduate students). From June 25 to 30, 2023, the contents of the study were thoroughly explained, consent was obtained from the research subjects, and a questionnaire was administered via an internet service. The questionnaires of 28 participants who responded completely were used for analysis. The collected data were statistically processed using IBM SPSS Statistics ver. 22.0 (IBM). Results: The use of big data in digital dental healthcare, digital dental health system, mobile dental health, dental health analysis, and telehealthcare were all heavily surveyed, with an average score of 3.97 or higher on a 5-point Likert scale. The areas where big data can be utilized in digital dental healthcare are as follows. The utilization rate for three-dimensional digital product development via linkage with big data systems and industrial field manufacturing technology was found to be 4.11±0.67, and the analysis of trends by age in the occurrence of various oral diseases was found to be 4.00±0.98. Conclusion: In the future, research into the viability of big data's success in the medical data field, which is directly related to human life, is needed. Additionally, social policies and regulations regarding big data-related information and standards in dental healthcare are necessary.

The effect of dental hygienist work cooperation and compensation satisfaction on job embeddedness: mediating effect of positive psychological capital (치과위생사의 업무 협력과 보상 만족도가 직무착근도에 미치는 영향: 긍정심리자본의 매개효과)

  • Ju-Eon Kim;Seon-Yeong Kim
    • Journal of Korean society of Dental Hygiene
    • /
    • v.24 no.3
    • /
    • pp.263-270
    • /
    • 2024
  • Objectives: The purpose of this study is to identify the effects of dental hygienists' cooperation and compensation satisfaction on job embeddedness through positive psychological capital, and to provide basic data on ways to improve the welfare of dental hygienists and the quality of medical services. Methods: From July 1 to 20, 2023, a questionnaire survey was administered to 206 dental hygienists via an online link. SPSS Statistics ver. 22.0 was used to conduct the frequency analysis, t-test, one-way ANOVA, Pearson's correlation coefficient, multiple regression analysis and hierarchical multiple regression. Results: Factors influencing dental hygienists' job embeddedness were type of compensation satisfaction (β=0.362, p<0.001), intangible compensation satisfaction (β=0.190, p<0.001), cooperation between dental hygienists (β=0.178, p<0.05), and age (β=0.112, p<0.05). Positive psychological capital was found to have a complete mediating effect on work cooperation in the effect of dental hygienists' job embeddedness (p>0.05), and partial mediating effect on compensation satisfaction (p<0.01). As a result of the Sobel test, it was confirmed that it was statistically significant as dental hygienist work cooperation (Z=2.339, p=0.019), dentist work cooperation (Z=1.985, p=0.047), intangible compensation satisfaction (Z=2.286, p=0.022), and type compensation satisfaction (Z=1.980, p=0.048). Conclusions: In order to improve the work environment of dental hygienists, develop programs to improve positive psychological capital, secure access to education, and various related studies are needed.

Association Between Infants Anthropometric Outcomes With Maternal AHEI-P and DII Scores

  • Zahra Roumi;Abolghassem Djazayery;Seyed Ali Keshavarz
    • Clinical Nutrition Research
    • /
    • v.12 no.2
    • /
    • pp.116-125
    • /
    • 2023
  • The present study sought to examine the association between an infant's anthropometric outcomes with maternal Dietary Inflammatory Index (DII) and Alternate Healthy Eating Index for Pregnancy (AHEI-P) scores during the third trimester of pregnancy. This prospective cohort study was applying 130 pregnant women, at the pregnancy training center in west Tehran, Iran (November 2020 to July 2021). The maternal dietary intake, and body mass index (BMI), and social economic level were evaluated. The data about birth weight, birth height, head circumference, and, gestational age at birth were extracted from each child's health records. The ultimate sample included 122 (93.8%) pairs of women/newborn children. The participants, mean age was 28.13 ± 4.66 years with gestational age between 28 to 40 weeks and the mean of BMI was 24.62 ± 3.51. Our outcomes, after adjustment for confounding factors, suggested that those newborn infants in the highest quartile of maternal DII score had a significantly lower weight (p < 0.001) and height (p = 0.05), in comparison to those in the lowest quartile, but not head circumference (p = 0.18). Moreover, after adjustment for confounding factors, results suggested that those newborn infants in the First quartile of maternal AHEI-P score had a significantly lower weight (p = 0.018) and, in comparison to those in the higher quartile. It appears that newborn infants with lower maternal DII and higher AHEI-P scores may have a better anthropometric outcome. Further longitudinal and in-depth qualitative and quantitative studies, with a longer-term follow-up, is warranted to support the integrity of our outcomes.

Risk Factor Analysis of Cryopreserved Autologous Bone Flap Resorption in Adult Patients Undergoing Cranioplasty with Volumetry Measurement Using Conventional Statistics and Machine-Learning Technique

  • Yohan Son;Jaewoo Chung
    • Journal of Korean Neurosurgical Society
    • /
    • v.67 no.1
    • /
    • pp.103-114
    • /
    • 2024
  • Objective : Decompressive craniectomy (DC) with duroplasty is one of the common surgical treatments for life-threatening increased intracranial pressure (ICP). Once ICP is controlled, cranioplasty (CP) with reinsertion of the cryopreserved autologous bone flap or a synthetic implant is considered for protection and esthetics. Although with the risk of autologous bone flap resorption (BFR), cryopreserved autologous bone flap for CP is one of the important material due to its cost effectiveness. In this article, we performed conventional statistical analysis and the machine learning technique understand the risk factors for BFR. Methods : Patients aged >18 years who underwent autologous bone CP between January 2015 and December 2021 were reviewed. Demographic data, medical records, and volumetric measurements of the autologous bone flap volume from 94 patients were collected. BFR was defined with absolute quantitative method (BFR-A) and relative quantitative method (BFR%). Conventional statistical analysis and random forest with hyper-ensemble approach (RF with HEA) was performed. And overlapped partial dependence plots (PDP) were generated. Results : Conventional statistical analysis showed that only the initial autologous bone flap volume was statistically significant on BFR-A. RF with HEA showed that the initial autologous bone flap volume, interval between DC and CP, and bone quality were the factors with most contribution to BFR-A, while, trauma, bone quality, and initial autologous bone flap volume were the factors with most contribution to BFR%. Overlapped PDPs of the initial autologous bone flap volume on the BRF-A crossed at approximately 60 mL, and a relatively clear separation was found between the non-BFR and BFR groups. Therefore, the initial autologous bone flap of over 60 mL could be a possible risk factor for BFR. Conclusion : From the present study, BFR in patients who underwent CP with autologous bone flap might be inevitable. However, the degree of BFR may differ from one to another. Therefore, considering artificial bone flaps as implants for patients with large DC could be reasonable. Still, the risk factors for BFR are not clearly understood. Therefore, chronological analysis and pathophysiologic studies are needed.

Multiple-Parallel Mediation Effects of Depression·Anxiety and Anger in the Relationship between Anger-out and Interpersonal Problems in Men (성인 남성의 분노 표출과 대인관계 문제와의 관계에서 우울·불안과 분노감의 다중병렬매개효과)

  • Ha Seo Kim;Byoung-Hee Lee
    • Journal of Korean Physical Therapy Science
    • /
    • v.31 no.1
    • /
    • pp.53-69
    • /
    • 2024
  • Background: This study aims to examine the multiple-parallel mediation effects of depression, anxiety, and anger in the relationship between anger-out and interpersonal problems in men. In addition, the purpose of this study was provide a basis for supporting psychological services alongside therapeutic services as a way to increase the overall interpersonal relationship of men. Design: Survey. Methods: This study targeted 208 adult men aged 20 to 59 years. Participants were recruited through online cafe postings, and data were collected by running an online survey link. Based on the collected data, correlations between variables were investigated, and multiple parallel mediation analysis was performed using the model (Model 4) presented by SPSS PROCESS Macro. In addition, the significance of statistics was confirmed by applying the bootstrapping method, and the significance of the indirect effect was confirmed by the Sobel Z test. Results: First, Anger-out in men is related to interpersonal problems(β=.614, P<.001). Second, it can see that anger-out not only increases depression·anxiety, but also increases anger. Third, Anger-out has been shown to increase depression, anxiety, and anger, leading to increasing interpersonal problems. Anger-out had a significant effect on depression, anxiety(β=.324 P<.001), and anger(β=.551, P<.001), and depression, anxiety(β=.239, P<.001), and anger (β=.318, P<.01) had a significant effect on interpersonal relationship problems. Lastly, it can be seen that men's anger-out is experienced more as anger than depression or anxiety. Conclusion: When providing medical services to men, I believe that if externally expressed anger is addressed along with therapeutic treatment, invisible depression can also be intervened and a more positive prognosis can be expected

Factors Affecting Quality of Life in Family Caregivers of Patients in Intensive Care Units (중환자실 입원환자 가족의 삶의 질 영향요인)

  • Kong, Kyeong Mi;Boo, Sunjoo;Lee, Youngjin;Ahn, Jeong-Ah
    • Journal of Korean Critical Care Nursing
    • /
    • v.17 no.2
    • /
    • pp.12-24
    • /
    • 2024
  • Purpose : This study aimed to identify factors influencing the quality of life of family caregivers of intensive care unit (ICU) patients. Methods : We conducted a study using a cross-sectional design. The study involved 109 family caregivers of ICU patients at a university-affiliated hospital in Gyeonggi-do, South Korea. Data were collected through self-report questionnaires between July 2020 and April 2021 and analyzed using descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficients, and multiple regression analysis. Results : The study revealed significant differences in quality of life based on economic status (F=11.63, p<.001), cohabitation with patients (t=-2.04, p=.044), sleep duration after patient's admission to the ICU (t=-2.48, p =.025), and subjective health status (F=30.06, p<.001). There were significant negative correlations observed between quality of life and post-traumatic stress symptoms (r=-.38, p<.001) as well as caregiver burden (r=-.46, p<.001). Factors affecting quality of life were subjective health status, economic status, and caregiver burden (adj. R2=0.52, F=15.64, p<.001). Conclusion : These findings underscore the need to develop and implement intervention programs tailored to the health conditions and economic status of family caregivers, with a focus on alleviating caregiver burden. Such initiatives are essential to ultimately improve the quality of life for family caregivers of ICU patients.

Development of the Tentative Educational Objectives for the Nursing College (대학간호교육목표의 시안개발)

  • Lee Haw-Ja
    • The Journal of Korean Academic Society of Nursing Education
    • /
    • v.1 no.1
    • /
    • pp.32-45
    • /
    • 1995
  • This thesis is a study to develop the tentative objectives and present the professional and courses for the nursing college. The conclusions conducted by the purpose of this study are as follows. First, on the basis of the concepts of the nursing and the view-points of nursing education, the tentative goals for the nursing education are set up as follows. 1. To understand human being's life, dignity and their physical, mental, and social aspects. 2. To understand the basic concepts and the principles of human sciences, social sciences, natural sciences, and medical sciences. To apply their knowledges to nursing practices. 3. To diagnose and assess the problems of individual, family and community in terms of nursing practice. To develop the ability of planning, negotiation, management, and evaluation for the nursing education. 4. To develop appropriate knowlege, attitudes, and skills to promote the clients' health and treat their illness. 5. To accomplish all tasks effectively as a trained and qualified professional nurse through the endless studies. Second, the nursing areas and courses for the nursing college in terms of validity, Importance, continuity, relationship, utility and appropriateness are listed as follows. 1. Fundamental courses of the nursing. (1) General courses communication human development, behavior science, biochemistry, microbiology, pharmacology (2) Medical courses physiology, anatomy, pathology 2. Basic courses in nursing (1) General nursing fundamental nursing, introduction of nursing, nursing history, nursing process, health education, health assessment, philosophy of nursing, nursing psychology (2) Maternal-Child nursing child-health nursing, child-disease nursing, adolescent nursing, obstetric nursing, post-partum nursing, gyneco-pathy nursing (3) Adult nursing adult health nursing, adult disease nursing I(fluid & electrotonic, shock, anoxia disorder), adult disease nursing II(nutrition-excretion disorder, sexual dysfunction), adult disease nursing III(sense-, control-, activity-, sleep disorder), adult disease nursing IV(operation, rehabilitation, emergency), gerontological nursing (4) Psychiatric nursing child-adolescent psychiatric nursing, adult psychiatric nursing, gerontological psychiatric nursing, spiritual nursing (5) Community health nursing community nursing, school nursing, industrial nursing, family nursing, nursing epidemiology 3. Nursing management and research skills (1) Nursing management nursing administration, nursing ethics, laws related to nursing (2) Research skills nursing statistics, nursing research methodology Finally, the principles of the statement of the specific objectives are the followings : 1. To state the specific objectives on the basis of the syllabus of each courses. 2. To match a content with a verb or gerund as the basic form of objectives. 3. To control the level of the objectives according to the rule 'the higher the level of a content, the lower the level of a verb or a gerund'. This rule applies in the reverse, as well. 4. To decide the number of the objectives in each course on the basis of the numbers of the syllabus and the level of its comprehensiveness, 5. To correct, supplement or eliminate the stated objectives by a professional or professional groups in that area.

  • PDF