Deep learning and big data in healthcare: a double review for critical beginners

L Bote-Curiel, S Munoz-Romero, A Gerrero-Curieses… - Applied Sciences, 2019 - mdpi.com
In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …

Clinical big data and deep learning: Applications, challenges, and future outlooks

Y Yu, M Li, L Liu, Y Li, J Wang - Big Data Mining and Analytics, 2019 - ieeexplore.ieee.org
The explosion of digital healthcare data has led to a surge of data-driven medical research
based on machine learning. In recent years, as a powerful technique for big data, deep …

[图书][B] Data science in healthcare: Benefits, challenges and opportunities

Z Abedjan, N Boujemaa, S Campbell, P Casla… - 2019 - Springer
The advent of digital medical data has brought an exponential increase in information
available for each patient, allowing for novel knowledge generation methods to emerge …

Machine learning and deep learning: Open issues and future research directions for the next 10 years

A Pramod, HS Naicker, AK Tyagi - Computational analysis and …, 2021 - Wiley Online Library
With the development in technology, many other technologies like machine learning (ML),
deep learning, blockchain technology, Internet of Things, and quantum computing have …

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 deep-big data approach to health care in the AI age

J Neves, H Vicente, M Esteves, F Ferraz… - Mobile Networks and …, 2018 - Springer
The intersection of these two trends is what we call The Issue and it is helping businesses in
every industry to become more efficient and productive. One's aim is to have an insight into …

Deep learning and alternative learning strategies for retrospective real-world clinical data

D Chen, S Liu, P Kingsbury, S Sohn, CB Storlie… - NPJ digital …, 2019 - nature.com
In recent years, there is increasing enthusiasm in the healthcare research community for
artificial intelligence to provide big data analytics and augment decision making. One of the …

The potential of big data research in healthcare for medical doctors' learning

M Au-Yong-Oliveira, A Pesqueira, MJ Sousa… - Journal of Medical …, 2021 - Springer
The main goal of this article is to identify the main dimensions of a model proposal for
increasing the potential of big data research in Healthcare for medical doctors'(MDs') …

Applications and challenges in healthcare big data: a strategic review

D Khanna, N Jindal, H Singh… - Current Medical …, 2023 - ingentaconnect.com
Big data has been a topic of interest for many researchers and industries for the past few
decades. Due to the exponential growth of technology, a tremendous amount of data is …

Big data for healthcare: a survey

S Bahri, N Zoghlami, M Abed, JMRS Tavares - IEEE access, 2018 - ieeexplore.ieee.org
Recently, the massification of new technologies, which has been adopted by a large majority
of the world population, has accumulated a tremendous amount of data, including clinical …