Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

RK Singh, S Agrawal, A Sahu, Y Kazancoglu - The TQM Journal, 2023 - emerald.com
Purpose The proposed article is aimed at exploring the opportunities, challenges and
possible outcomes of incorporating big data analytics (BDA) into health-care sector. The …

Emerging trends and global scope of big data analytics: a scientometric analysis

KS Rawat, SK Sood - Quality & Quantity, 2021 - Springer
The primary sources of big data nowadays are from cloud computing, social networks, and
the internet of things, and henceforth the data analytics has gained popularity these days …

Toward an Innovative Green Strategic Formulation Methodology: Empowerment of corporate social, health, safety and environment

A Padash, AR Ghatari - Journal of cleaner production, 2020 - Elsevier
Nowadays, developing empowering strategies based on health, safety and the environment
is one of the most important issues of management in organizations. This research provides …

A Deep Learning Approach for Predictive Healthcare Process Monitoring

UM Ramirez-Alcocer, E Tello-Leal, G Romero… - Information, 2023 - mdpi.com
In this paper, we propose a deep learning-based approach to predict the next event in
hospital organizational process models following the guidance of predictive process mining …

Modified adaptive neuro-fuzzy inference system (M-ANFIS) based multi-disease analysis of healthcare Big Data

K Vidhya, R Shanmugalakshmi - The Journal of Supercomputing, 2020 - Springer
Big Data (BD) has turned into a significant research field owing to the dawn of vast quantity
of data generated as of various sources like Internet of things (IoT), social media, and also …

Leveraging Big Data Analytics for Enhanced Clinical Decision-Making in Healthcare

F Hussain, M Nauman, A Alghuried, A Alhudhaif… - IEEE …, 2023 - ieeexplore.ieee.org
Recently, the rate of data generation has reached unprecedented levels, leading to a huge
amount of data volume. In addition, modern-day computing systems generate data in …

Design of a personalized recommender system using sentiment analysis in social media (case study: banking system)

M Ghobakhloo, M Ghobakhloo - Social Network Analysis and Mining, 2022 - Springer
Customer retention and finding a way to preserve the customers are the most important
issues of any organization. The main purpose of the present study in machine learning is to …

[PDF][PDF] A classification of non-cryptographic anonymization techniques ensuring privacy in big data

Z El Ouazzani, H El Bakkali - International Journal of …, 2020 - researchgate.net
Recently, Big Data processing becomes crucial to most enterprise and government
applications due to the fast growth of the collected data. However, this data often includes …

Data science in the design of public policies: dispelling the obscurity in matching policy demand and data offer

M Arnaboldi, G Azzone - Heliyon, 2020 - cell.com
Data Science (DS) is expected to deliver value for public governance. In a number of
studies, strong claims have been made about the potential of big data and data analytics …

Mobility in unsupervised word embeddings for knowledge extraction—The scholars' trajectories across research topics

G Lombardo, M Tomaiuolo, M Mordonini, G Codeluppi… - Future Internet, 2022 - mdpi.com
In the knowledge discovery field of the Big Data domain the analysis of geographic
positioning and mobility information plays a key role. At the same time, in the Natural …