scholarly journals Data Mining Usage and Applications in Health Services

2018 ◽  
Vol 2 (4) ◽  
pp. 225
Author(s):  
Mehmet Akif Cifci ◽  
Sadiq Hussain
Keyword(s):  
Data Mining ◽  
Health Services ◽  
Healthcare Workers ◽  
Health Sector ◽  
Health Data ◽  
Strategic Decision ◽  
Decision Making Processes ◽  
New Perspective ◽  
Almost All ◽  
Strategic Decision Support

Data Mining (DM), used to extract large amounts of hidden, valuable, useful information in large quantities and to provide strategic decision support, has created a new perspective on the use of health data. It has become a rapidly growing method of responding to problematic areas of data in large quantities in almost all sections. Although in health services it seems to be slow, a major leap has come to the scene. The aim of this study is to provide a new perspective on decision-making processes by creating an infrastructure for the health data and to provide examples for healthcare workers in the healthcare industry using DM techniques. Forasmuch as, the conceptual framework of data discovery in databases, Data Warehousing, DM, Business Intelligence (BI) has been given. DM applications and usages are given as examples of priority issues and problem areas in the health sector. 

Mining Association Rules in Data Warehouses

2008 ◽  
pp. 303-335
Author(s):  
Haorianto Cokrowijoyo Tjioe ◽  
David Taniar
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Strategic Decision ◽  
Multidimensional Data ◽  
Data Warehouses ◽  
Multidimensional Databases ◽  
Efficient Data ◽  
Decision Making Processes ◽  
Mining Association Rules ◽  
Transactional Data

Data mining applications have enormously altered the strategic decision-making processes of organizations. The application of association rules algorithms is one of the well-known data mining techniques that have been developed to cope with multidimensional databases. However, most of these algorithms focus on multidimensional data models for transactional data. As data warehouses can be presented using a multidimensional model, in this paper we provide another perspective to mine association rules in data warehouses by focusing on a measurement of summarized data. We propose four algorithms — VAvg, HAvg, WMAvg, and ModusFilter — to provide efficient data initialization for mining association rules in data warehouses by concentrating on the measurement of aggregate data. Then we apply those algorithms both on a non-repeatable predicate, which is known as mining normal association rules, using GenNLI, and a repeatable predicate using ComDims and GenHLI, which is known as mining hybrid association rules.

scholarly journals Health sector responses to intiate partner violence: A literature review

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Kate Rees ◽  
Virginia Zweigenthal ◽  
Kate Joyner
Keyword(s):  
Health Services ◽  
South African ◽  
Partner Violence ◽  
Healthcare Workers ◽  
Healthcare Providers ◽  
Health Sector ◽  
Models Of Care ◽  
Health Concern ◽  
Current State ◽  
Current Systems

Background: Intimate partner violence (IPV) is a common and serious public health concern, particularly in South Africa, but it is not well managed in primary care.Aim: This review aims to summarise the current state of knowledge regarding health sector-based interventions for IPV, their integration into health systems and services and the perspectives of service users and healthcare workers on IPV care, focusing on the South African context.Method: PubMed, CINAHL, PsycINFO and Google Scholar were searched betweenJanuary 2012 and May 2014. All types of study design were included, critically appraised and summarised.Results: Exposure to IPV leads to wide-ranging and serious health effects. There is suffiient evidence that intervening in IPV in primary care can improve outcomes. Women who have experienced IPV have described an appropriate response by healthcare providers to be non-judgmental, understanding and empathetic. IPV interventions that are complex, comprehensive and utilise systems-wide approaches have been most effective, but system- andsociety-level barriers hamper implementation. Gender inequities should not be overlooked when responding to IPV.Conclusion: Further evaluations of health sector responses to IPV are needed, in order to assist health services to determine the most appropriate models of care, how these can be integrated into current systems and how they can be supported in managing IPV. The need for this research should not prevent health services and healthcare providers from implementing IPV care, but rather should guide the development of rigorous contextually-appropriate evaluations.

scholarly journals An overview of the implications of covid-19 on economy, education and mental health

2021 ◽  
Vol 10 (1) ◽  
pp. 210-217
Author(s):  
Qudsia Umaira Khan ◽  
Kaenat Ahmed ◽  
Haleema Anwar
Keyword(s):  
Mental Health ◽  
Healthcare Workers ◽  
Negative Impact ◽  
Health Sector ◽  
Huge Amount ◽  
Health Tourism ◽  
Tourism Education ◽  
Almost All ◽  
Near Future ◽  
Media Choices

Coronavirus 2019 (COVID-19), a viral infection, has taken over the world. The infection was declared as a pandemic and a Public Health Emergency of International Concern in January 2020. Since then there have been lockdowns in numerous countries, causing multiple complications in not only the health sector but also in various aspects of life. COVID-19 has grid-locked the economy and is expected to lead to an economic crisis in the near future. The education system is also affected as examinations have been cancelled and classes are being given online which has decreased the quality. The lockdown has had a negative impact on human psychology. Amidst these circumstances, there are steps being taken to cope with these critical situations. Since the outbreak of COVID-19 pandemic, a huge amount of formal and informal studies have appeared in literature. Given the diversity of media choices, the emerging knowledge has reached across the globe within very limited time. These studies, individually, have focused on almost all the aspects affected by the pandemic, like economy, healthcare, tourism, education etc. This study by the authors provides a simplified overview of impacts of COVID-19 noted by various research studies. It is a useful concise account of COVID-19 effects in one-reading covering aspects like effects on healthcare & healthcare workers, human behavior & mental health, tourism, pollution and education.

Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015

2017 ◽  
Vol 4 (2) ◽  
pp. 87-93
Author(s):  
Immanuel Luigi Da Gusta ◽  
Johan Setiawan
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Data Visualization ◽  
Health Sector ◽  
Medical Personnel ◽  
Database Systems ◽  
Process Time ◽  
Acceptance Test ◽  
Visual Data Mining ◽  
The Government

The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has not been evenly distributed and less adequate, the lack of human resources professional health workforce, there is still a high number of deaths in the outbreak of infectious diseases. Data for the research are taken from BPS, in total 10,600 records after the Extract, Transform and Loading process. Time needed to convert several publications from PDF, to convert to CSV and then to MS Excel 3 weeks. The method used is Eight-step Data Visualization and Data Mining methodology. Tableau is chosen as a tool to create the data visualization because it can combine each dasboard inside a story interactive, easier for the user to analyze the data. The result is a story with 3 dashboards that can fulfill the requirement from BPS staff and has been tested with a satisfied result in the UAT (User Acceptance Test). Index Terms—Dashboard, data visualization, disease, malaria, Tableau REFERENCES [1] S. Arianto, Understanding of learning and others, 2008. [2] Rainer; Turban, Introduction to Information Systems, Danvers: John Wiley & Sons, Inc, 2007. [3] V. Friedman, Data Visualization Infographics, Monday Inspirition, 2008. [4] D. A. Keim, "Information Visualization and Visual Data Mining," IEEE Transactions on Visualization and Computer Graphics 8.1, pp. 1-8, 2002. [5] Connolly and Begg, Database Systems, Boston: Pearson Education, Inc, 2010. [6] E. Hariyanti, "Pengembangan Metodologi Pembangunan Information Dashboard Untuk Monitoring kinerja Organisasi," Konferensi dan Temu Nasional Teknologi Informasi dan Komunikasi untuk Indonesia, p. 1, 2008. [7] S. Darudiato, "Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care," Seminar Nasional Informatika 2010, pp. E-353, 2010.

scholarly journals Analysis of Customers’ Reactions to E-Commerce Companies Using Instagram Data

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 12
Author(s):  
Ekin Akkol
Keyword(s):  
Decision Making ◽  
Web Application ◽  
Customer Relations ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Stock Management ◽  
Decision Making Processes

The aim of this study is to develop a web application that supports decision-making processes on subjects—such as customer relations management, marketing, and stock management—with data such as posts, comments, and likes from Instagram to four e-commerce companies. In this context, the data obtained from the Instagram accounts of e-commerce companies were recorded in a database after the pre-processing and classification stages. A web application has been developed that can support managers in their decision-making processes at operational, tactical, and strategic decision-making levels by visualizing the data recorded in the database.

scholarly journals Well-Being of Healthcare Workers and the General Public during the COVID-19 Pandemic in Vietnam: An Online Survey

2021 ◽  
Vol 18 (9) ◽  
pp. 4737
Author(s):  
Tuyen Dinh Hoang ◽  
Robert Colebunders ◽  
Joseph Nelson Siewe Fodjo ◽  
Nhan Phuc Thanh Nguyen ◽  
Trung Dinh Tran ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
Large Scale ◽  
Online Survey ◽  
Preventive Measures ◽  
Vaccine Coverage ◽  
Health Sector ◽  
Well Being ◽  
Multivariate Logistic Regression Model ◽  
The Mean ◽  
Restrictive Measures

The COVID-19 pandemic and associated restrictive measures implemented may considerably affect people’s lives. This study aimed to assess the well-being of Vietnamese people after COVID-19 lockdown measures were lifted and life gradually returned to normal. An online survey was organized from 21 to 25 April 2020 among Vietnamese residents aged 18 and over. The survey was launched by the Hue University of Medicine and Pharmacy. The WHO-5 Well-Being Index (scored 0–25) was used to score participants’ well-being. A multivariate logistic regression model was used to determine the predictors of well-being. A total of 1922 responses were analyzed (mean age: 31 years; 30.5% male; 88.2% health professionals or students in the health sector). The mean well-being score was 17.35 ± 4.97. Determinants of a high well-being score (≥13) included older age, eating healthy food, practicing physical exercise, working from home, and adhering to the COVID-19 preventive measures. Female participants, persons worried about their relatives’ health, and smokers were more likely to have a low well-being score. In conclusion, after the lockdown measures were lifted, the Vietnamese have people continued to follow COVID-19 preventive measures, and most of them scored high on the well-being scale. Waiting to achieve large-scale COVID-19 vaccine coverage, promoting preventive COVID-19 measures remains important, together with strategies to guarantee the well-being of the Vietnamese people.

scholarly journals Utilization of key preventive measures for pregnancy complications and malaria among women in Jimma Zone, Ethiopia

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mariame Ouedraogo ◽  
Jaameeta Kurji ◽  
Lakew Abebe ◽  
Ronald Labonté ◽  
Sudhakar Morankar ◽  
...  
Keyword(s):  
Health Services ◽  
Pregnant Women ◽  
Malaria Infection ◽  
Preventive Measures ◽  
Health Sector ◽  
Maternal Health Services ◽  
Cross Sectional Survey ◽  
Wealth Status ◽  
Cross Sectional ◽  
Jimma Zone

Abstract Background In Ethiopia, malaria infections and other complications during pregnancy contribute to the high burden of maternal morbidity and mortality. Preventive measures are available, however little is known about the factors influencing the uptake of maternal health services and interventions by pregnant women in Ethiopia. Methods We analyzed data from a community-based cross-sectional survey conducted in 2016 in three rural districts of Jimma Zone, Ethiopia, with 3784 women who had a pregnancy outcome in the year preceding the survey. We used multivariable logistic regression models accounting for clustering to identify the determinants of antenatal care (ANC) attendance and insecticide-treated net (ITN) ownership and use, and the prevalence and predictors of malaria infection among pregnant women. Results Eighty-four percent of interviewed women reported receiving at least one ANC visit during their last pregnancy, while 47% reported attending four or more ANC visits. Common reasons for not attending ANC included women’s lack of awareness of its importance (48%), distance to health facility (23%) and unavailability of transportation (14%). Important determinants of ANC attendance included higher education level and wealth status, woman’s ability to make healthcare decisions, and pregnancy intendedness. An estimated 48% of women reported owning an ITN during their last pregnancy. Of these, 55% reported to have always slept under it during their last pregnancy. Analysis revealed that the odds of owning and using ITNs were respectively 2.07 (95% CI: 1.62–2.63) and 1.73 (95% CI: 1.32–2.27) times higher among women who attended at least one ANC visit. The self-reported prevalence of malaria infection during pregnancy was low (1.4%) across the three districts. We found that young, uneducated, and unemployed women presented higher odds of malaria infection during their last pregnancy. Conclusion ANC and ITN uptake during pregnancy in Jimma Zone fall below the respective targets of 95 and 90% set in the Ethiopian Health Sector Transformation Plan for 2020, suggesting that more intensive programmatic efforts still need to be directed towards improving access to these health services. Reaching ANC non-users and ITN ownership and use as part of ANC services could be emphasized to address these gaps.

Measuring the globalization of health services: a possible index of openness of country health sectors to trade

2006 ◽  
Vol 1 (4) ◽  
pp. 323-342 ◽  
Author(s):  
RICHARD SMITH
Keyword(s):  
Health Policy ◽  
Health Services ◽  
Health Sector ◽  
Specific Aspect ◽  
Policy Makers ◽  
Significant Aspect ◽  
National Economies ◽  
The Impact

Globalization is a key challenge facing health policy-makers. A significant aspect of this is trade in health services. However, little is currently known about how trade in health services will affect the health of populations and national economies. A key determinant of the impact of trade in health services will be the general economic and trade context of the country concerned. One specific aspect of this is the ‘openness’ of a country’s health sector to trade; yet there is little, if anything, currently known about the most appropriate methods to assess openness of the health sector.

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