• KIEAE Journal
• /
• 제11권4호
• /
• pp.3-10
• /
• 2011

Recently, as sense of crisis about human survival has become serious due to worsening environmental pollution, people have begun to pay attention to their health more and more. In order to improve health conditions, multifarious approaches have been made from such diverse sectors as foods, clothing, medical sciences and environment, and particularly space environmental matters of housing cannot but be a matter of great concern to maintain and enhance the health of the residents. However, scarcely empirical studies have been made from the viewpoint of the users regarding the characteristics of Modern Hanok that has been appreciated as an example of a representative healthy housing. Therefore, this study aimed to study the recognition of apartment residents concerning the health characteristics of Modern Hanok. The health characteristics of Modern Hanok analyzed through literature investigation were classified into three categories of physical, mental and social health, and based on these characteristics, survey was made through web-survey upon 200 apartment residents who have interest in Hanok but have not lived or stayed in Hanok yet. The survey result revealed that about 60% of the respondents have recognized the health characteristics of Modern Hanok, and the respondents recognizing this fact expected that on a comparatively low average level of 2.09 out of 5 the health characteristics of Modern Hanok would affect their health. At current housing market where users' viewpoint and roles function more importantly than ever, the result of this study will contribute to enhance the comprehensive understanding about the health characteristics of Modern Hanok through empirical study on what the users think and expect.

• Journal of Microbiology and Biotechnology
• /
• 제30권4호
• /
• pp.477-481
• /
• 2020

Viability plays an important role in the beneficial microbes (probiotics) to produce health benefits. However, this idea has been changed after the invention of the term "paraprobiotics," indicating that non-viable microbes could produce health benefits similar to those produced by live probiotics. Occasionally, it might be dangerous to administer live probiotics to people with weak immunity. In such cases, ingestion of paraprobiotics could be a potential alternative. The definition of paraprobiotics refers to the use of inactivated (non-viable) microbial cells or cell fractions to provide health benefits to the consumer. Paraprobiotics have attracted much attention because of their long shelf life, safety, and beneficial effects, such as modulation of immunity, modification of biological responses, reduction of cholesterol, anti-inflammatory, and antiproliferative properties. These features indicate that paraprobiotics may play a vital role in improving the health of the consumer by enhancing particular physiological functions, even though the exact underlying mechanisms have not yet been completely elucidated. In this mini-review, we briefly discuss the historical backgrounds of paraprobiotics and evidence of their health-promoting effects, prophylactic, and therapeutic properties.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2015년도 추계학술발표대회
• /
• pp.763-766
• /
• 2015

Smart Healthcare System as an Open Platform (Shesop) is an integrated healthcare system and have several features, one of them is Steppy Application. Steppy does count your step and display on Shesop website. In this system security issues are not properly addressed, while Personal Health Record (PHR) patient stored in the cloud platform could be at risk. In fact, the huge electronic information available online, people needs reliable and effective technique for privacy preserving. In order to improve the security of data which are displayed on the Shesop website, so that anyone who access could not tamper without permission. Recently Xu et al. showed a pseudonym scheme using smart card as a solution in e-health systems which uses discrete logarithm problem with cyclic group. In this paper, we adopt their scheme and use it application into smartphone using Near Field Communication (NFC) to construct security in Steppy apps.

• Clinical Endoscopy
• /
• 제56권5호
• /
• pp.553-562
• /
• 2023

Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions. Image-enhanced endoscopy (IEE) increases lesion visibility by enhancing the microstructure, blood vessels, and mucosal surface color, resulting in the detection of colorectal lesions. In recent years, various IEE techniques have been used in clinical practice, each with its unique characteristics. Numerous studies have reported the effectiveness of IEE in the detection of colorectal lesions. IEEs can be divided into two broad categories according to the nature of the image: images constructed using narrow-band wavelength light, such as narrow-band imaging and blue laser imaging/blue light imaging, or color images based on white light, such as linked color imaging, texture and color enhancement imaging, and i-scan. Conversely, artificial intelligence (AI) systems, such as computer-aided diagnosis systems, have recently been developed to assist endoscopists in detecting colorectal lesions during colonoscopy. To gain a better understanding of the features of each IEE, this review presents the effectiveness of each type of IEE and their combination with AI for colorectal lesion detection by referencing the latest research data.

• 보건행정학회지
• /
• 제22권4호
• /
• pp.497-521
• /
• 2012

Objectives This study aimed to investigate the effect of social capital, health risk behavior and health status on medical care utilization by the elderly. The data and Research method Data were obtained from the 4th wave survey of the Korea Welfare Panel Study. 4,087 household members aged 65 years and over were subject to analysis. Descriptive statistics are used to describe the basic features of the data in a study. we performed a structural equation modeling(SEM) analysis to evaluate the effect of social capital and mediating effect of health risk behavior and health status. Results Results showed that factors related to medical care utilization of the elderly were different depending on types of service (inpatient and outpatient service) except health status. Age, higher social capital, more health-risk behavior and poorer health status were associated with increased use of inpatient service. Social capital was found to have a positive direct effect on it. Also, social capital had an indirect effect on reducing use of inpatient services by improving health status. On the other hand, lower age and higher household income tended to increase use of outpatient service, while higher social capital and higher health status were inversely related. Social capital had a direct effect and an indirect effect on reducing use of outpatient service and, at that time, health status played a mediating role. Conclusions Social capital may contribute to improve health status and indirectly reduce medical care utilization of the elderly by enhancing their health status. These results provide evidence that more policy and strategy considerations should be needed for the elderly to strengthen their social capital in order to enhance their levels of health and more efficient utilization of medical care.

• International journal of advanced smart convergence
• /
• 제12권4호
• /
• pp.434-442
• /
• 2023

The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing factor to this gap in research is the limited investigation of drug modalities in the intensive care unit (ICU) context, due to the challenges of processing prescription data into the corresponding drug representations and a lack in the comprehensive understanding of these drug representations. This study addresses this gap by proposing a novel approach that leverages patient prescription data as a modality to improve existing models for AKI prediction. We base our research on Electronic Health Record (EHR) data, extracting the relevant patient prescription information and converting it into the selected drug representation for our research, the extended-connectivity fingerprint (ECFP). Furthermore, we adopt a unique multimodal approach, developing machine learning models and 1D Convolutional Neural Networks (CNN) applied to clinical drug representations, establishing a procedure which has not been used by any previous studies predicting AKI. The findings showcase a notable improvement in AKI prediction through the integration of drug embeddings and other patient cohort features. By using drug features represented as ECFP molecular fingerprints along with common cohort features such as demographics and lab test values, we achieved a considerable improvement in model performance for the AKI prediction task over the baseline model which does not include the drug representations as features, indicating that our distinct approach enhances existing baseline techniques and highlights the relevance of drug data in predicting AKI in the ICU setting.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권5호
• /
• pp.1484-1502
• /
• 2023

The medical sector actively changes and implements innovative features in response to technical development and revolutions. Many of the most crucial elements in IoT-connected health services are safeguarding critical patient records from prospective attackers. As a result, BlockChain (BC) is gaining traction in the business sector owing to its large implementations. As a result, BC can efficiently handle everyday life activities as a distributed and decentralized technology. Compared to other industries, the medical sector is one of the most prominent areas where the BC network might be valuable. It generates a wide range of possibilities and probabilities in existing medical institutions. So, throughout this study, we address BC technology's widespread application and influence in modern medical systems, focusing on the critical requirements for such systems, such as trustworthiness, security, and safety. Furthermore, we built the shared ledger for blockchain-based healthcare providers for patient information, contractual between several other parties. The study's findings demonstrate the usefulness of BC technology in IoHT for keeping patient health data. The BDSA-IoHT eliminates 2.01 seconds of service delay and 1.9 seconds of processing time, enhancing efficiency by nearly 30%.

• 생물정신의학
• /
• 제27권2호
• /
• pp.74-83
• /
• 2020

Objectives Psychological resilience plays a significant role in many aspects of mental health. The aim of this study was to find an association between childhood attention deficit hyperactivity disorder (ADHD) features and adulthood psychological resilience in patients with mood disorders. Methods A total of 213 patients with mood disorders including major depressive disorder or bipolar I, II disorder and 909 healthy controls were included. We assessed childhood ADHD features using the Wender Utah Rating Scale (WURS), adulthood psychological resilience using the Connor-Davidson Resilience Scale (CD-RISC), and current depressive mood using the Beck Depression Inventory (BDI). Pearson's correlation, multiple linear regression and a mediation analyses were performed to examine the relationships between three WURS factor (impulsivity, inattention, and mood instability) scores, the BDI score, and the CD-RISC score. Results The CD-RISC score was negatively correlated with the WURS childhood inattention factor score and current BDI score in patients with mood disorders. BDI score mediated the influence of the inattention factor score on CD-RISC score among patients with mood disorders. The CD-RISC score was significantly lower in patients with mood disorders than in controls even after controlling for age, WURS scores, and the BDI score. Conclusions An evaluation of psychological resilience is important for enhancing recovery and quality of life in patients with mood disorders. When assessing psychological resilience, current depression and ADHD features in childhood, particularly inattention, should be considered.

• Asian Pacific Journal of Cancer Prevention
• /
• 제13권9호
• /
• pp.4311-4314
• /
• 2012

Posttraumatic growth (PTG) is the experience of positive change that occurs as a result of the struggle with highly challenging life crises. The need to understand PTG in relation to actual changes in an individual's life has recently been raised. Little is known about the role of social support in the experience of positive outcomes. The purpose of this study is to investigate the role of perceived social support in enhancing PTG in cancer patients. This study involved 105 cancer patients. The data were collected using a questionnaire that determined the socio-demographic features, posttraumatic growth inventory (PTGI) and perceived social support. Participants reported relatively high levels of PTG and social support. Total perceived social support, support from family, and friends were significantly positive associated with the development of PTG among cancer patients. Accordingly, the social surroundings of the patient should be informed about the importance of social support and how it helps the patient; they should be made aware of necessity of social support.

• Parasites, Hosts and Diseases
• /
• 제57권6호
• /
• pp.581-585
• /
• 2019

Confocal laser scanning microscopy (CLSM) was used to examine archaeoparasitological specimens from coprolites associated with La Cueva de los Muertos Chiquitos (CMC) located near present-day Durango, Mexico. The eggs for 4 different types of parasites recovered from CMC coprolites were imaged using CLSM to assist with identification efforts. While some of the parasite eggs recovered from CMC coprolites were readily identified using standard light microscopy (LM), CLSM provided useful data for more challenging identifications by highlighting subtle morphological features and enhancing visualization of parasite egg anatomy. While other advanced microscopy techniques, such as scanning electron microscopy (SEM), may also detect cryptic identifying characters, CLSM is less destructive to the specimens. Utilizing CLSM allows for subsequent examinations, such as molecular analyses, that cannot be performed following SEM sample preparation and imaging. Furthermore, CLSM detects intrinsic autofluorescence molecules, making improved identification independent of resource and time-intensive protocols. These aspects of CLSM make it an excellent method for assisting in taxonomic identification and for acquiring more detailed images of archaeoparasitological specimens.