scholarly journals Security aware information classification in health care big data

2021 ◽  
Vol 11 (5) ◽  
pp. 4439
Author(s):  
Snehalata K. Funde ◽  
Gandharba Swain
Keyword(s):  
Health Care ◽  
Big Data ◽  
Threshold Value ◽  
Medical Services ◽  
Training Dataset ◽  
Sensitive Information ◽  
Contact Number ◽  
Information Classification ◽  
Current State ◽  
Number Of Patients

These days e-medical services frameworks are getting famous for taking care of patients from far-off spots, so a lot of medical services information like the patient’s name, area, contact number, states of being are gathered distantly to treat the patients. A lot of information gathered from the different assets is named big data. The enormous sensitive information about the patient contains delicate data like systolic BP, pulse, temperature, the current state of being, and contact number of patients that should be recognized and sorted appropriately to shield it from abuse. This article presents a weightbased similarity (WBS) strategy to characterize the enormous information of health care data into two classifications like sensitive information and normal information. In the proposed method, the training dataset is utilized to sort information and it comprises of three fundamental advances like information extraction, mapping of information with the assistance of the training dataset, evaluation of the weight of input data with the threshold value to classify the data. The proposed strategy produces better outcomes with various assessment boundaries like precision, recall, F1 score, and accuracy value 92% to categorize the big data. Weka tool is utilized for examination among WBS and different existing order procedures.

scholarly journals Formation of a Market Model in the Financing of Health Care in the Kyrgyz Republic

2019 ◽  
Author(s):  
Damira Japarova
Keyword(s):  
Health Care ◽  
State Regulation ◽  
Market Mechanism ◽  
Market Model ◽  
Medical Services ◽  
Hospital Treatment ◽  
Kyrgyz Republic ◽  
Number Of Patients ◽  
Care Costs

Due to the collapse of the Union, there was a reduction in funding for health care costs, as well as deterioration in the infrastructure and quality of medical services. The transitional economy in the Kyrgyz Republic has identified additional features in the health system. The main ones are the low level of funding, the presence of the shadow market of medical services, inefficient structure and the prevalence of high-cost hospital treatment. The market mechanism is developing, however, without state regulation. The Kyrgyz Republic continues to reform its health-care system. The task was to improve the methods of their financing. New mechanisms for financing medical services have been introduced. Despite the reduction in the number of hospitals, the number of patients treated in hospitals has increased.

scholarly journals Big Data Analysis: Why Not an Asthma APP?

10.28945/2216 ◽  
2015 ◽  
Author(s):  
Quan Do ◽  
Kris Robinson ◽  
Son Tran
Keyword(s):  
Health Care ◽  
Big Data ◽  
Chronic Disease ◽  
Mobile App ◽  
Self Management ◽  
Care Providers ◽  
Positive Adjustment ◽  
Stage Of Development ◽  
Number Of Patients ◽  
Asthma Patients

Asthma and Chronic Obstructive Pulmonary Disease (COPD) is among the highest health diagnosis and therefore an economic drain, which puts substantial pressure on a huge number of patients, communities, and health systems. These chronic conditions are presently incurable but their symptoms can be controlled through quality health care, appropriate medications, and good self-management skills. Many asthma APPs have been developed to support asthma patients’ self-management of the disease. Asthma APPs are still in the infancy stage of development. Literature review indicates satisfaction to be equivocal. Moreover, available APPs have many unresolved issues, such as the following: (1) No APP provides comprehensive asthma information while at the same time possessing the characteristics of an efficient tool for self-management of the disease; (2) No APP has the ability to integrate data from disparate formats; (3) Not many APPs provide for two way communication between patients and Health Care Providers (HCPs) and support the providers decision making process; (4) No APP targets older adults. Different sources of data often imply data stored in inherently different formats. The integration of such data, culled from different databases requires use of Big Data (BD) techniques. The proposed asthma mobile APP aims to promote elderly asthma patients’ positive adjustment to this chronic disease by being an effective tool for patients to control their asthma triggers and support asthma self-management. Adjustment is a dynamic process and varies by individual. For that reason, a personalized asthma APP is necessary to control this chronic disease. The proposed asthma APP will allow patients to input their own asthma self-management data so the APP can identify patient personal triggers and will predict an asthma attack accordingly. Considering a patient’s individual determinants and uniqueness is required to push the patient’s positive adjustment to asthma since these elements affect the ability of individual to adapt to the illness. The paper reports our effort to establish the desirable characteristics for the next generation asthma APP and for a population segment not presently well served.

scholarly journals Territorial Location Of Medical Services To The Population In The Republic Of Karakalpakstan

2020 ◽  
Vol 02 (11) ◽  
pp. 28-33
Author(s):  
Gaypova Roza Tursinbaevna ◽  
◽  
Uzaqbaev Qoblan Keunimjay Uli ◽  
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Medical Services ◽  
Current State ◽  
Health Care Institutions ◽  
The Republic ◽  
Care System

This article analyzes the problems of staffing in clinics, hospitals and other stationary health care institutions, the current state of the health care system of the Republic of Karakalpakstan and gives some recommendations for their improvement.

Artistic Challenges within Control Societies: Big Data and Democratic Resistance

MedienJournal ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 50-61 ◽  
Author(s):  
Jan Jagodzinski
Keyword(s):  
Big Data ◽  
Gilles Deleuze ◽  
Data Archive ◽  
Current State ◽  
The Future ◽  
The Way

This paper will first briefly map out the shift from disciplinary to control societies (what I call designer capitalism, the idea of control comes from Gilles Deleuze) in relation to surveillance and mediation of life through screen cultures. The paper then shifts to the issues of digitalization in relation to big data that have the danger of continuing to close off life as zoë, that is life that is creative rather than captured via attention technologies through marketing techniques and surveillance. The last part of this paper then develops the way artists are able to resist the big data archive by turning the data in on itself to offer viewers and participants a glimpse of the current state of manipulating desire and maintaining copy right in order to keep the future closed rather than being potentially open.

Current Practices and Challenges of Medical Services on Health Care System of Mandalay General Hospital

2019 ◽  
Vol 31 (2) ◽  
pp. 131
Keyword(s):  
Health Care ◽  
General Hospital ◽  
Health Care Providers ◽  
Quality Care ◽  
Healthcare Providers ◽  
Medical Services ◽  
Tertiary Level ◽  
Care Providers ◽  
Level Hospital ◽  
Care System

In Myanmar, the main challenge to provide quality healthcare by Universal Health Care approach is documented as low health services coverage with substantial wealth-based inequality. To achieve the effective health care system, strong medical care system is essential. Understanding on challenges and needs in provision of medical services among patients and health care providers is critical to provide quality care with desirable outcomes. The aim of the study was to explore the patients’ and health care providers’ perceptions on the challenges in provision of medical services at the Mandalay General Hospital. This was a qualitative study conducted at the tertiary level hospital (Mandalay General Hospital). The data was collected by using focus group discussions and in-depth interviews with hospitalized patients or attendants, healthcare providers such as medical doctors, nurses, laboratory scientists and hospital administrators in March 2017. The qualitative data was analyzed using themes by themes matrix analysis. Most patients were satisfied with the care provided by the doctors because they believed that they received quality care. However, some patients complained about long waiting time for elective operation, congested conditions in the ward, burden for investigations outside the hospital for urgent needs and impolite manners of general workers. Healthcare providers reported that they had heavy workload due to limited human and financial resources in the hospital, poor compliances with hospital rules and regulation among patients and attendants, and inefficient referral practices from other health facilities. Other challenges experienced by healthcare providers were lack of ongoing training to improve knowledge and skills, limited health infrastructure and inadequate medicinal supplies. The findings highlighted the areas needed to be improved to provide quality health care at the tertiary level hospital. The challenges and problems encountered in this hospital can be improved by allocating adequate financial and human resources. The systematic referral system and hospital management guidelines are needed to reduce workload of health staff.

Digitalization in the system of anti-corruption measures

2020 ◽  
Vol 22 (5) ◽  
pp. 51-55
Author(s):  
OLEG N. KORCHAGIN ◽  
◽  
ANASTASIA V. LYADSKAYA ◽  
Keyword(s):  
Big Data ◽  
Law Enforcement ◽  
Public Administration ◽  
Network Architecture ◽  
Digital Technologies ◽  
Current State ◽  
Foreign Countries ◽  
Separate Area ◽  
Private Business Sector ◽  
The Given

The article is devoted to the current state of digitalization aimed at solving urgent problems of combating corruption in the field of public administration and private business sector. The work considers the experience of foreign countries and the influence of digital technologies on the fight against corruption. It is noted that the digitalization of public administration is becoming one of the decisive factors for increasing the efficiency of the anti-corruption system and improving management mechanisms. Big Data, if integrated and structured according to the given parameters, allows the implementation of legislative, law enforcement, control and supervisory and law enforcement activities reliably and transparently. Big Data tools allow us to analyze processes, identify dependencies and predict corruption risks. The author describes the most significant problems that complicate the transfer of offline technologies into the online environment. The paper analyzes promising directions for the development of digital technologies that would lead to solving the arising problems, as well as to implement tasks that previously seemed unreachable. The article also describes current developments in the field of collecting and managing large amounts of data, the “Internet of Things”, modern network architecture, and other advances in the field of IT; the work provides applied examples of their potential use in the field of combating corruption. The study gives reasons that, in the context of combating corruption, digitalization should be allocated in a separate area of activity that is controlled and regulated by the state.

DIAGNOSTICS OF THE CURRENT STATE OF HEALTHCARE IN RUSSIA

2020 ◽  
Vol 15 (5) ◽  
pp. 35-55
Author(s):  
N.P. STARYKH ◽  
◽  
A.V. EGOROVA ◽  
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Statistical Data ◽  
Secondary Analysis ◽  
World Health ◽  
Healthy Life Expectancy ◽  
Federal State ◽  
Sociological Research ◽  
Healthy Life ◽  
Current State

The purpose of the article is to analyze the current state of healthcare in Russia. Scientific novelty of the study: the authors suggest that the efficiency of the health care system depends on the state of such indicators of public health as life expectancy and healthy life expectancy. Life expectancy is an integrated demographic indicator that characterizes the number of years that a person would live on average, provided that the age-specific mortality rate of a generation would be at the level for which the indicator was calculated throughout life. The indicator ‘healthy life expectancy’ is formed by subtracting the number of years of unhealthy life (due to chronic diseases, disabilities, mental and behavioral disorders, etc.) from the life expectancy indicator. Results: the article presents an analysis of the current state of Russian healthcare based on statistical data provided by the Federal State Statistics Service, the World Health Organization, and world rankings. Attention is focused on the perceptions of Russians about the quality of medical services and Russian healthcare. Conclusions about the current state of health care in Russia are formulated by the authors, based on a secondary analysis of statistical data, as well as data from sociological research presented by leading Russian sociological centers.

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