[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications

A Haleem, M Javaid, RP Singh, R Suman - Internet of Things and Cyber …, 2022 - Elsevier
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …

Axes of a revolution: challenges and promises of big data in healthcare

S Shilo, H Rossman, E Segal - Nature medicine, 2020 - nature.com
Health data are increasingly being generated at a massive scale, at various levels of
phenotyping and from different types of resources. Concurrent with recent technological …

Concurrence of big data analytics and healthcare: A systematic review

N Mehta, A Pandit - International journal of medical informatics, 2018 - Elsevier
Abstract Background The application of Big Data analytics in healthcare has immense
potential for improving the quality of care, reducing waste and error, and reducing the cost of …

[HTML][HTML] Artificial intelligence (AI) and big data in cancer and precision oncology

Z Dlamini, FZ Francies, R Hull, R Marima - Computational and structural …, 2020 - Elsevier
Artificial intelligence (AI) and machine learning have significantly influenced many facets of
the healthcare sector. Advancement in technology has paved the way for analysis of big …

Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science

R Rein, D Memmert - SpringerPlus, 2016 - Springer
Until recently tactical analysis in elite soccer were based on observational data using
variables which discard most contextual information. Analyses of team tactics require …

[HTML][HTML] Challenges and opportunities of big data in health care: a systematic review

CS Kruse, R Goswamy, YJ Raval… - JMIR medical …, 2016 - medinform.jmir.org
Background: Big data analytics offers promise in many business sectors, and health care is
looking at big data to provide answers to many age-related issues, particularly dementia and …

Big data analytics in health sector: Theoretical framework, techniques and prospects

P Galetsi, K Katsaliaki, S Kumar - International Journal of Information …, 2020 - Elsevier
Clinicians, healthcare providers-suppliers, policy makers and patients are experiencing
exciting opportunities in light of new information deriving from the analysis of big data sets, a …

What is your definition of Big Data? Researchers' understanding of the phenomenon of the decade

M Favaretto, E De Clercq, CO Schneble, BS Elger - PloS one, 2020 - journals.plos.org
The term Big Data is commonly used to describe a range of different concepts: from the
collection and aggregation of vast amounts of data, to a plethora of advanced digital …

Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities

A Rehman, S Naz, I Razzak - Multimedia Systems, 2022 - Springer
Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …

Making sense of big data in health research: towards an EU action plan

C Auffray, R Balling, I Barroso, L Bencze, M Benson… - Genome medicine, 2016 - Springer
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing
and high-resolution imaging technologies are key drivers of this rapid and crucial …