Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology

RGJ Pablo, DP Roberto, SU Victor… - Journal of integrative …, 2022 - degruyter.com
In the last decades big data has facilitating and improving our daily duties in the medical
research and clinical fields; the strategy to get to this point is understanding how to organize …

[PDF][PDF] A review on student attrition in higher education using big data analytics and data mining techniques

SSA Tarmizi, S Mutalib, NHA Hamid… - International Journal of …, 2019 - academia.edu
Student attrition among undergraduate students is among the most concerned issues in
higher educational institutions in Malaysia and abroad. This problem arises when these …

[PDF][PDF] A review on data analytics for supply chain management: a case study

P Anitha, MM Patil - International Journal of Information Engineering …, 2018 - mecs-press.org
The present study bridges the gap between the two intersecting domains, data science and
supply chain management. The data can be analyzed for inventory management …

Novel hybrid intelligent secure cloud internet of things based disease prediction and diagnosis

A Verma, G Agarwal, AK Gupta, M Sain - Electronics, 2021 - mdpi.com
Nowadays, more people are affected by various diseases such as blood pressure, heart
failure, etc. The early prediction of diseases tends to increase the survival of affected …

Big data analytics in healthcare

M Ambigavathi, D Sridharan - 2018 tenth international …, 2018 - ieeexplore.ieee.org
The pace of both digital innovation and technology disruption is refining the healthcare
industry at an exponential rate. The large volume of healthcare data continues to mount …

Big data processing technologies in distributed information systems

N Shakhovska, N Boyko, Y Zasoba… - Procedia Computer …, 2019 - Elsevier
The analysis of Big data technologies was provided. An example of MapReduce paradigm
application, uploading of big volumes of data, processing and analyzing of unstructured …

[PDF][PDF] Medical big data classification using a combination of random forest classifier and k-means clustering

P Manikandan - International Journal of Intelligent Systems and …, 2018 - researchgate.net
An efficient classification algorithm used recently in many big data applications is the
Random forest classifier algorithm. Large complex data include patient record, medicine …

Prospects of machine and deep learning in analysis of vital signs for the improvement of healthcare services

M Alloghani, T Baker, D Al-Jumeily, A Hussain… - … -inspired computation in …, 2020 - Springer
The advent of eHealth and the need for real-time patient monitoring and assessment has
prompted interest in understanding people behavior for improving care services. In this …

Healthcare analytics: A comprehensive review

A Alghamdi, T Alsubait, A Baz, H Alhakami - Engineering, Technology & …, 2021 - etasr.com
Big data have attracted significant attention in recent years, as their hidden potentials that
can improve human life, especially when applied in healthcare. Big data is a reasonable …

A survey on big data in healthcare applications

M Ambigavathi, D Sridharan - … and Devices: Proceedings of ICICCD 2018, 2020 - Springer
The large volume of healthcare data continues to mount every second, making it harder and
very difficult to find any form of useful information. Recently, big data is changing the …