• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.155-161
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• 2008

An automated healthcare monitoring is demand of time, lot of problems occurring just because of less monitoring of patients health condition on time. In this paper an embedded healthcare service is proposed by an iSCSI protocol on an automated multi-agent coordination by resource-constrained devices controlled system for healthcare service. The coordination between the resource constrained devices (e.g. PDA, SmartPhone, Tablet PC), and automated agents are maintained by a two-way handshaking mode iSCSI protocol. The automated health care control could be useable, and beneficial in the repetitive way. A fully centralized control is not applicable for this kind of approach.

• The KIPS Transactions:PartC
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• v.19C no.1
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• pp.63-70
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• 2012

To ensure privacy of individual information in remote healthcare service, health data should be protected through a secure technology such as encryption scheme. Only user who delegated decryption right can access to sensitive health data and delegator needs capability for revocating access privilege. Recently, in ubiquitous environment, CP-ABTD(Ciphertext-Policy Attribute-Based Threshold Decryption with Flexible Delegation and Revocation of User Attributes) which extends CP-ABE(Ciphertext-Policy Attribute-Based Encryption) has been proposed for these requirements. In this paper, we construct remote healthcare monitoring system with delegation and revocation capability for attribute in CP-ABTD. Finally, we analyze collusion attack between users in our system.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• Biomedical Science Letters
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• v.27 no.4
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• pp.310-316
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• 2021

Mobile phones used by healthcare workers are not only an indicator of the contamination of healthcare associated bacteria, but can also be another source of infection. The number and time of handwashing, mobile phone operation time and disinfection were highly relation with the bacterial contamination on the surface of mobile phone. Healthcare associated bacteria isolated from the mobile phone surface were 28 MRCoNS (48.3%), 14 S. aureus (24.2%), 3 MRSA (5.2%), 5 A. baumannii (8.6%), 3 MRAB (5.2%), 3 Entrococcus spp. (5.1%), 2 Pantoea spp. (3.4%), 2 A. lowffii (3.4%), 1 E. cloacae (1.7%), 1 P. stutzeri (1.7%), and P. mirabillis (1.7%). For isolation according to department, 2 MRAB from the emergency room and 1 MRSA from intensive unit, the radiology team and the rehabilitation medical team, respectively were isolated. As a result of the relation of isolates from the department of patient contact (ER, RT, GW, CP, ICU, RMT), the bacterial isolation rate was 75% and the department of patient non-contact (MRT) was 10%.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.153-160
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• 2024

Information technology plays an important role in healthcare. The cloud has several applications in the fields of education, social media and medicine. But the advantage of the cloud for medical reasons is very appropriate, especially given the large volume of data generated by healthcare organizations. As in increasingly health organizations adopting towards electronic health records in the cloud which can be accessed around the world for various health issues regarding references, healthcare educational research and etc. Cloud computing has many advantages, such as "flexibility, cost and energy savings, resource sharing and rapid deployment". However, despite the significant benefits of using the cloud computing for health IT, data security, privacy, reliability, integration and portability are some of the main challenges and obstacles for its implementation. Health data are highly confidential records that should not be made available to unauthorized persons to protect the security of patient information. In this paper, we discuss the privacy and security requirement of EHS as well as privacy and security issues of EHS and also focus on a comprehensive review of the current and existing literature on Electronic health that uses a variety of approaches and procedures to handle security and privacy issues. The strengths and weaknesses of some of these methods were mentioned. The significance of security issues in the cloud computing environment is a challenge.

• IE interfaces
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• v.20 no.2
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• pp.177-185
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• 2007

e-Business in healthcare sector has been called e-Health, which is evolving into u-Health with advances of ubiquitous technologies. Seamless information sharing among health organizations is being discussed in many nations including USA, UK, Australia and Korea. Efforts for establishing the electronic health record (EHR) system and a nation-wide information sharing environment are called NHII (National Health Information Infrastructure) initiatives. With the advent of u-Health and progress of health information systems, information security issues in healthcare sector have become a very significant problem. In this paper, we analyze several issues on health information security occurring in u-Health environment and develop an information security standard for protecting health information. It is expected that the standard proposed in this work could be established as a national standard after sufficient reviews by information security experts, stakeholders in healthcare sector, and health professionals. Health organizations can establish comprehensive information security systems and protect health information more effectively using the standard. The result of this paper also contributes to relieving worries about privacy and security of individually identifiable health information brought by NHII implementation and u-Health systems.

• Health Policy and Management
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• v.31 no.4
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• pp.508-517
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• 2021

Background: After the first case of coronavirus disease 2019 (COVID-19) in January 2020, Korea has experienced three waves in 2020. This study aimed to analyze changes in health care utilization according to the period of the 1st to 3rd waves of the COVID-19 pandemic. Methods: We analyzed 3,354,469,401 national health insurance claims from 59,104 medical facilities between 2017 and 2020. Observed-to-expected ratios (O:E ratio) with data from 2017 to 2019 as expected values and data from 2020 as observed values were obtained to analyze changes in medical utilization. T-test was used to test whether the difference of observed and expected values was statistically significant. Results: In 2020, the O:E ratio was 0.894, indicating a decrease in health care utilization overall during the pandemic. The O:E ratio of the 1st wave was 0.832, which was lower than those of the second (0.886) and third (0.873) waves. Health care utilization decreased relatively more among outpatient, women, children and adolescents, and health insurance patients. And health care utilization decreased more in small medical facilities and in Daegu and Gyeongbuk during the first wave. During the pandemic, the O:E ratios of respiratory diseases were 0.486-0.694, while chronic diseases and mental diseases were more than 1.0. Conclusion: Health care utilization decreased during the COVID-19 pandemic overall, and there were differences by COVID-19 waves, and by the characteristics of patients and medical facilities. It is necessary to understand the cause of changes in health care utilization in order to cope with the prolonged COVID-19 pandemic.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.280-284
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• 2022

The purpose of the study was to identify the level of development of gaming disorder among e-sportsmen as a potential risk of their activity. Three groups were formed for the study. The first group consisted of 102 e-sportsmen aged between 18 and 32; the second group consisted of boys of the same age who, according to preliminary questionnaires, played computer games fairly frequently - at least once a week (n = 102); the third group consisted of individuals of the same gender and age, but who did not share a passion for computer games (n = 102). The study was performed using semi-structured interview during which the respondents filled out the Computer gaming disorder questionnaire developed and tested by O.M. Vidova under our supervision. Our study showed that among 102 e-sportsmen, 82,3% did not have any computer gaming disorder, only some tendency thereto. While 17,6% of e-sportsmen were characterized by a pronounced gaming disorder. E-sportsmen who prefer strategies, less than all other e-sportsmen, tend to escape from reality and accept the game role, to express their emotions through the game, and in general have the lowest level of dependence on games. Additionally, strategic e-sportsmen are most likely to study the game thoroughly and to develop themselves with it. Many Starcraft e-sportsmen tend to explore the possibilities of the game in detail and, at the same time, protect themselves from escaping into virtual reality. The risk of computer gaming disorder among e-sportsmen is largely determined by their sports achievements, the type of sports activity (individual or team), and genre of the preferred computer game.

• Biomedical Science Letters
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• v.19 no.2
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• pp.147-152
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• 2013

17-${\beta}$-hydroxysteroid dehydrogenase type 1 ($17{\beta}$-HSD type 1) mediates the reaction of $17{\beta}$-estradiol (E2) production from estrone (E1). Inhibitory effects of curcuminoids on $17{\beta}$-HSD type 1 activity were investigated to find a lead compound for treating estrogen-dependent diseases including breast cancer. Among curcuminoids, demethoxycurcumin showed potent inhibitory effect ($IC_{50}=2.7{\mu}M$) on mouse $17{\beta}$-HSD type 1. Curcuminoids also displayed their inhibitory effects on the production of $17{\alpha}$-estradiol which is a carcinogenic metabolite produced by the enzyme. Bisdemethoxycurcumin ($IC_{50}=1.3{\mu}M$) showed potent inhibitory effect on the $17{\alpha}$-estradiol production by chicken $17{\beta}$-HSD type 1. Curcuminoids did not inhibit ERE transcriptional activity with and without E2. Taken together, curcuminoids can be used for treating and preventing E2-dependent diseases via inhibition on $17{\beta}$-HSD type 1 activity.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.72-72
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• 2020

Various mixtures were prepared depending on the mixing ratio of Scutellaria baicalensis hot water extract (SB-HW) and Chrysanthemum morifolium ethanol extract (CM-E) and their anti-inflammatory activity were compared. Among them, SB-HW (80 ㎍/mL)/CM-E (120 ㎍/mL) or SB-HW (40 ㎍/mL)/CM-E (160 ㎍/mL) significantly inhibited LPS-stimulated NO and IL-6 levels in RAW 264.7 cells. The SB-HW (80 ㎍/mL)/CM-E (120 ㎍/mL) mixture, which was determined as active mixture, significantly reduced MUC5AC secretion in PMA and LPS-induced NCI-H292 cells. The active mixture also reduced the production of PGE2 and IL-8 in PMA-induced A549 cells. LC-MS/MS analysis showed that the active mixture was composed of high contents of flavone glycosides, such as baicalin and cynaroside. Western blot analysis indicated that the active mixture suppressed phosphorylation of ERK, JNK, and p38, associating with the inhibition of MAPK signaling. Taken together, our results suggest that the active mixture could be applied as a new anti-inflammatory herbal medicine