Towards the use of big data in healthcare: A literature review

G Dicuonzo, G Galeone, M Shini, A Massari - Healthcare, 2022 - mdpi.com
The interest in new and more advanced technological solutions is paving the way for the
diffusion of innovative and revolutionary applications in healthcare organizations. The …

A novel cloud enabled access control model for preserving the security and privacy of medical big data

A Alabdulatif, NN Thilakarathne, K Kalinaki - Electronics, 2023 - mdpi.com
In the context of healthcare, big data refers to a complex compilation of digital medical data
collected from many sources that are difficult to manage with normal technology and …

Big data and machine learning based secure healthcare framework

P Kaur, M Sharma, M Mittal - Procedia computer science, 2018 - Elsevier
The paper presents a brief introduction to big data and its role in healthcare applications. It is
observed that the use of big data architecture and techniques are continuously assisting in …

Challenges of big data analytics for sustainable supply chains in healthcare–a resource-based view

M Hussain, M Ajmal, G Subramanian… - Benchmarking: An …, 2024 - emerald.com
Purpose Regardless of the diverse research on big data analytics (BDA) across different
supply chains, little attention has been paid to exploit this information across service supply …

A case study for a big data and machine learning platform to improve medical decision support in population health management

F López-Martínez, ER Núñez-Valdez, V García-Díaz… - Algorithms, 2020 - mdpi.com
Big data and artificial intelligence are currently two of the most important and trending pieces
for innovation and predictive analytics in healthcare, leading the digital healthcare …

An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction

P Rani, R Kumar, A Jain, R Lamba… - … Methods in Engineering, 2024 - Springer
Heart disease is a widespread global concern, underscoring the critical importance of early
detection to minimize mortality. Although coronary angiography is the most precise …

Incremental innovation towards business performance: data management challenges in healthcare industry in Indonesia

M Lubis, LA Ridho, B Lubis… - MATEC web of …, 2018 - matec-conferences.org
The Industry 4.0 indicate the increases in competitive pressures, the margins reduction, the
availability of new technology and the marketing development techniques suggest making …

A review of big data and its applications in healthcare and public sector

A Shastri, M Deshpande - Big data analytics in healthcare, 2020 - Springer
Big Data has been a buzzword in the IT sector for a few years now. It has attracted attention
from researchers, industry and academia around the world. This chapter is intended to …

基于ICF 的康复大数据理论架构研究

田益凡, 陈迪, 程亚宁, 叶海燕, 刘叶, 张赢心… - 中国康复理论与 …, 2024 - cjrtponline.com
基于ICF的康复大数据理论架构研究 《中国康复理论与实践》 《中国康复理论与实践》 微信平台 《中国
康复理论与实践》 移动平台 《中国康复理论与实践》 中国科技核心期刊(中国科技论文统计源期刊 …

Big data analytics in the health sector: challenges and potentials

MJ Milenkovic, A Vukmirovic, D Milenkovic - Management: Journal of …, 2019 - ceeol.com
Research Question: The introduction of the Big Data concept in the healthcare sector points
to a major challenge and potential. Motivation: Our goal is to indicate the importance of …