Federated learning approach to protect healthcare data over big data scenario

G Dhiman, S Juneja, H Mohafez, I El-Bayoumy… - Sustainability, 2022 - mdpi.com
The benefits and drawbacks of various technologies, as well as the scope of their
application, are thoroughly discussed. The use of anonymity technology and differential …

A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem

MJ Molo, JA Badejo, E Adetiba… - … Intelligence and Soft …, 2021 - Wiley Online Library
Cloud computing is a technology that allows dynamic and flexible computing capability and
storage through on‐demand delivery and pay‐as‐you‐go services over the Internet. This …

Prediction of type-2 diabetes mellitus disease using machine learning classifiers and techniques

BS Ahamed, MS Arya, AO Nancy V - Frontiers in Computer Science, 2022 - frontiersin.org
The technological advancements in today's healthcare sector have given rise to many
innovations for disease prediction. Diabetes mellitus is one of the diseases that has been …

Removing barriers for digital health through organizing ambidexterity in hospitals

A Gleiss, S Lewandowski - Journal of Public Health, 2022 - Springer
Aim Hospitals noticeably struggle with maintaining hundreds of IT systems and applications
in compliance with the latest IT standards and regulations. Thus, hospitals search for …

The impact of artificial intelligence, blockchain, big data and evolving technologies in coronavirus disease-2019 (COVID-19) curtailment

S Ahir, D Telavane, R Thomas - 2020 international conference …, 2020 - ieeexplore.ieee.org
The pandemic of Coronavirus Disease 2019 (COVID-19) is proliferating across the globe
obnoxiously and it is the most heard buzzword in recent times. Every person ranging from …

Comparative intrepretation of machine learning algorithms in predicting the cardiovascular death rate for COVID-19 data

DR Krithika, K Rohini - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Every year 31% of people die from cardiovascular disease worldwide. The big data analytics
technique is very useful to Identify Heart disease and COVID-19. To control the COVID-19 …

[PDF][PDF] BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE.

S Mesbaul Haque, J Sakila Akter - Management of Sustainable …, 2022 - msdjournal.org
Background: Healthcare is a very complex area that is ingesting data at an unprecedented
speed. Within the health care industry, there's an abundance of data; data from physicians …

Analysis of clustering algorithms in machine learning for healthcare data

M Ambigavathi, D Sridharan - Advances in Computing and Data Sciences …, 2020 - Springer
Clustering algorithm is one of the most popular data analysis technique in machine learning
to precisely evaluate the vast number of healthcare data from the body sensor networks …

Implementation of big data in hospital using cluster analytics

ED Madyatmadja, M Marvell, JF Andry… - 2021 International …, 2021 - ieeexplore.ieee.org
Technology is needed to develop rapidly, including in the health sector. Any industry and
any countries, big data technology has become a significant database where the data or …

Big data insights and comprehensions in industrial healthcare: an overview

W He, S Nazir, Z Hussain - Mobile Information Systems, 2021 - Wiley Online Library
Big data are the data which need to be shaped for their volume, size, and shape in order to
extract meaningful information for an explicit purpose. Data are ever playing a significant …