Journal of agricultural medicine and community health
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v.44
no.4
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pp.195-208
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2019
Objectives: The purpose of this study was to analyze whether there are differences in medical expenses according to medical security type in the use of medical services with high disease burden such as coronary intervention. Methods: Chi-square test and covariance analysis(ANCOVA) were conducted to identify the differences in the characteristics and costs according to medical security type of 1,904 patients who underwent coronary intervention in a university hospital from 2011 to 2012. Hierarchical regression analysis was conducted to determine whether the cost affects medical expenses. Results: In the medical aid group, the proportion of women, those without a job, those without a spouse, and those who received hemodialysis was high, length of stay was high, patients using the emergency room and those who died was high. The medical aid patients were significantly higher in the non-benefit medical expenses, optional medical expenses, physician and admission, meals, medications and injections. National health insurance patients were significantly higher in procedure. The medical security type was found to be significant as a variable affecting the medical expenses. Conclusions: Provision of medical expenses should be managed in advance by providing prevention and education services for the vulnerable, and care services in the region should be provided to suppress the occurrence of medical expenses due to the increase in the number of days spent. In addition, it is necessary to support medical expenses to prevent unsatisfactory medical services from occurring for non-benefit and optional care.
Objective of the study represents experiences of medical utilization of Psychiatric Outpatients. This research draws on information obtained from the 2008 National-wide sampling study of the Korean Healthcare Panel(KHP) conducted. The results of our study suggest the significance of variables such as the gender(p<.001) in the social demographical characteristics, the medical security type(p<.016), medical institution utilization(p<.012) treatment type(p<.004) in the utilization factors. In the case of medical utilization cost, the financial support factor(p<.018) showed a significant relationship. Depending on the particularities of gender, medical security type, financial support, medical institution utilization, treatment type were determined through a multiple logistics regression analysis. Gender showed that, among Psychiatric outpatient age of 30-59 level was 5.358 times and 60 years and older, their the second medical examination level was 4.490 times higher than Psychiatric outpatients under the age of 29. Health insurance type showed for the others medical allowance was 6.712 times higher than job health insurance and the other treatment was 0.395 times lower than drug treatment. Psychiatric outpatients utilization are rooted in the thoughts and factor levels of the Psychiatric patients and must be understood from the Psychiatric outpatients's perspective. The point is not only to gauge the patients research during Psychiatric medical utilization. The important of social community mental healthcare services levels goes beyond the goal of enhancing healthcare.
Objective : The present study is aimed at providing basic data to help oriental medical hospitals devise efficient operational plans by analyzing the medical expenses of in-patients in an oriental medical hospital and the factors affecting such expenses. Methods : PASW 18.0 was used to analyze the medical insurance program data of 929 patients who were discharged from a university oriental medical hospital(with 105 sick-beds) during the period from January 1 to December 31, 2010 after treatment under the coverage of health insurance and medical aid. Results : 1) Of all the patients hospitalized, 63.3% were females, their mean age was 52.73 years old, and 87.7% was covered by the health insurance program. The biggest number or 31.2% of the patients were treated by the department of acupuncture, 31.5% suffered mainly from the diseases of musculoskeletal system and connective tissues, and the average length of stay at the hospital was 19.49 days. 2) There were statistically significant differences in total medical expenses by age, clinical department in charge, principal diagnosis, and number of days hospitalized while daily average medical expenses differed depending on age, type of medical security, clinical department, principal diagnosis, and number of days staying at the hospital. 3) Total medical expenses were found significantly influenced by age, type of medical security, clinical department, principal diagnosis, and number of days hospitalized(explanatory power : 95.9%), whereas type of medical security, clinical department and principal diagnosis turned out to exercise significant influence on the daily average medical expenses(explanatory power : 26.9%). Conclusion : Oriental medical hospitals are suggested to make efforts to ensure geographical and economical accessibility for their main clients, the elderly and middle-aged, as well as to improve satisfaction of the clients with the medical service provided. They are also encouraged to work out systems to specialize in treatment with a focus on chronic degenerative and adult diseases. In addition, they are expected to try to enhance people's awareness of oriental medicine in an attempt to diversify the brackets of clients and increase frequency of their utilization.
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.
International Journal of Computer Science & Network Security
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v.23
no.5
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pp.47-52
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2023
In this paper a new fuzzy prediction is designed and developed to predict the type of delivery based on 7 factors. The developed system is highly needed to give a recommendation to the family excepting baby and at the same time provide an advisory system to the physician. The system has been developed using MATLAB and has been tested and verified using real data. The system shows high accuracy 95%. The results has been also checked one by one by a physician. The system shows perfect matching with the decision of the physician.
This paper presents the content regarding electronic medical examination chart and data processing for efficient medical examination and fast treatment by realizing remote medical examination system of mutual conversation type among 3 parties(patient, doctor, pharmacist) on internet base, and establishment of database enabled system integration for efficient data processing in both on-line and off-line mode by interconnecting ASP and SQL on IIS 4.0 web server, consultation between patient and doctor, medical examination on off-line mode, transmission of prescription sheet to the pharmacist designated by patient, preparation of medicine, semieternal storage of medical examination data owing to storage and check of medical examination data, more accurate medical examination and prescription using this medical examination data by patient and doctor, and so on. And, data processing between doctor and pharmacist is differently performed based on class such as general member and charge member, and service access right pursuant to this is endowed, so that certification of each member must follow by all means.
Objectives The purpose of this study is to evaluate the effects of attachment security, social support and health-related burden in the prediction of psychological distress and the mediation effects of social support and health-related burden in relationship between attachment security and psychological distress. Methods Finally, 161 patients were included for the analysis. Chi-square test and independent samples t-test were used for comparing differences between depressive/anxious group and non-depressive/non-anxious group. For evaluating the relationship among attachment security, social support, psychological distress and health-related burden, structural equation modeling analysis were performed. Results 40.7% and 32.0% of the patients have significant depressive symptoms and anxiety symptoms, respectively. In the analysis for testing the differences between groups who have psychological distress and who have not, there were no significant differences of sociodemographic factors and medical characteristics between groups, except for association between depressive symptoms and type of surgery (p = 0.01). Contrary to sociodemographic and medical characteristics, there were significant differences of health-related burden and two coping resources (attachment security and social support) between groups (all p < 0.01), except for the support from medical team in between anxious group and non-anxious group (p = 0.20). In the structural equation model analysis (Model fit : chi-square/df ratio = 0.8, root mean square error of approximation = 0.000, comparative fit index = 1.000, non-normed fit index =0.991), attachment security and social support emerged as an important predictor of psychopathology. Conclusions Attachment security and social support are important factors affecting the psychological distress. We suggest that individual attachment style and the social support state must be considered to approach the newly diagnosed breast cancer patients with psychological distress.
Journal of International Society for Simulation Surgery
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v.4
no.1
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pp.17-20
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2017
Purpose Interactive 3D visualization system through remote data transmission over heterogeneous network is growing due to the improvement of internet based real time streaming technology. Materials and Methods The current internet's IP layer has several weaknesses against IP spoofing or IP sniffing type of network attacks since it was developed for reliable packet exchange. In order to compensate the security issues with normal IP layer, we designed a remote medical visualization system, based on Virtual Private Network. Results Particularly in hospital, if there are many surgeons that need to receive the streaming information, too much load on the gateway can results in deficit of processing power and cause the delay. Conclusion End to end security through the network method would be required.
International Journal of Computer Science & Network Security
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v.23
no.9
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pp.186-191
/
2023
Neural Networks are widely used for huge variety of tasks solution. Machine Learning methods are used also for signal and time series analysis, including electrocardiograms. Contemporary wearable devices, both medical and non-medical type like smart watch, allow to gather the data in real time uninterruptedly. This allows us to transfer these data for analysis or make an analysis on the device, and thus provide preliminary diagnosis, or at least fix some serious deviations. Different methods are being used for this kind of analysis, ranging from medical-oriented using distinctive features of the signal to machine learning and deep learning approaches. Here we will demonstrate a neural network-based approach to this task by building an ensemble of 1D CNN classifiers and a final classifier of selection using logistic regression, random forest or support vector machine, and make the conclusions of the comparison with other approaches.
Objectives: Using data from the 1styear of the 7th National Health and Nutrition Survey, this study administered a questionnaire to patients with oral damage and examined the type of medical care used based on the nature of the injury, further characterized by age group and sex. Methods: Of the 8,150 respondents, this study selected those who participated in the health survey and oral exam survey, excluding surveys with missing values, and set 7,681 people as the research participants. This study used SPSS Windows version 23.0(SPSS Inc. IL, USA) as the statistics program and applied the chi-square test (p) based on a complex sample and logistic regression analysis. Results: In the analysis of the type of tooth damage, there was a significant difference (p<.001) in the number of male patients who were injured due to exercise, violence, and safety accidents compared to females. However, there was no significant difference in their type of medical security and whether or not they visited a dental clinic. The patients with private insurance showed relatively high use for tooth extraction and oral surgery (p<.001). Conclusions: The best way to prevent tooth damage is to prevent the accident. For sports or exercises which may cause tooth damage, protective gear, such as a mouthpiece, should be used to prevent tooth damage.
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