A systematic perspective on the applications of big data analytics in healthcare management

SS Kamble, A Gunasekaran, M Goswami… - International Journal of …, 2019 - Taylor & Francis
The exponential growth in the data collected in the form of electronic health records,
registries, or wearable sensors has bought a big data revolution in the health industry. A …

Use of electronic health data for disease prediction: A comprehensive literature review

ME Hossain, A Khan, MA Moni… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Disease prediction has the potential to benefit stakeholders such as the government and
health insurance companies. It can identify patients at risk of disease or health conditions …

[HTML][HTML] A predictive model for the post-pandemic delay in elective treatment

R Nehme, A Puchkova, A Parlikad - Operations Research for Health Care, 2022 - Elsevier
The COVID-19 pandemic had a major impact on healthcare systems across the world. In the
United Kingdom, one of the strategies used by hospitals to cope with the surge in patients …

[图书][B] Advancing big data analytics for healthcare service delivery

T Iyamu - 2022 - taylorfrancis.com
In recent years, there has been steady increase in the interest shown in both big data
analytics and the use of information technology (IT) solutions to improve healthcare services …

Predictive analysis in healthcare: Emergency wait time prediction

F Gonçalves, R Pereira, J Ferreira… - … and Applications–, 9th …, 2019 - Springer
Emergency departments are an important area of a hospital, being the major entry point to
the healthcare system. One of the most important issues regarding patient experience are …

Healthcare data management conceptual framework for service delivery

T Iyamu, K Nunu - Education and Information Technologies, 2021 - Springer
In the context of South Africa, what we do know is that huge amount of healthcare data does
exist and that they are consciously and unconsciously scattered in bits and pieces across …

Data Analytics Applications in Healthcare, Hospitality, Marketing, and Security

R Selvanambi, JK Dhankhar, P Batish… - … Driven Approaches for …, 2023 - igi-global.com
The healthcare industry produces an outsized amount of knowledge, including medical
records, compliance with regulatory requirements, and patient information. Most of these …

Introduction to Smart Healthcare: Healthcare Digitization

AK Tyagi - 6G-Enabled IoT and AI for Smart Healthcare, 2023 - taylorfrancis.com
Owing to the development of cyber-physical systems (CPS) in this century, it has also made
birth to catering many domains such as smart industry, smart grid, smart energy, and smart …

Analysis of bodily fluids and fomites in transmission of ebola virus using bigdata

C Jemimah, SL Sheeba - Procedia Computer Science, 2016 - Elsevier
Ebola virus is a highly contagious haemorrhagic fever which has lead to the recent
destruction in parts of Africa where nearly half of the population of Africa has been eroded …

Predictive Modelling of the Comorbidity of Chronic Diseases: A Network and Machine Learning Approach

ME Hossain - 2020 - ses.library.usyd.edu.au
Chronic diseases have become increasingly common and caused most of the burden of ill
health in many countries. They are associated with adverse health outcomes in terms of …