AI and big data in healthcare: towards a more comprehensive research framework for multimorbidity

LT Majnarić, F Babič, S O'Sullivan… - Journal of Clinical …, 2021 - mdpi.com
Multimorbidity refers to the coexistence of two or more chronic diseases in one person.
Therefore, patients with multimorbidity have multiple and special care needs. However, in …

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 …

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 …

[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 …

[HTML][HTML] Big data in healthcare: management, analysis and future prospects

S Dash, SK Shakyawar, M Sharma, S Kaushik - Journal of big data, 2019 - Springer
'Big data'is massive amounts of information that can work wonders. It has become a topic of
special interest for the past two decades because of a great potential that is hidden in it …

Health big data analytics: current perspectives, challenges and potential solutions

MH Kuo, T Sahama, AW Kushniruk… - … Journal of Big …, 2014 - inderscienceonline.com
Modern health information systems can generate several exabytes of patient data, the so
called 'health big data', per year. Many health managers and experts believe that with the …

[HTML][HTML] Untangling the complexity of multimorbidity with machine learning

A Hassaine, G Salimi-Khorshidi, D Canoy… - Mechanisms of ageing …, 2020 - Elsevier
The prevalence of multimorbidity has been increasing in recent years, posing a major
burden for health care delivery and service. Understanding its determinants and impact is …

The role of big data in healthcare: A review of implications for patient outcomes and treatment personalization

EP Adeghe, CA Okolo, OT Ojeyinka - World Journal of Biology …, 2024 - wjbphs.com
The integration of big data analytics in healthcare has ushered in a transformative era,
redefining the landscape of patient care and treatment strategies. This review examines the …

[HTML][HTML] From big data to better patient outcomes

T Hulsen, D Friedecký, H Renz, E Melis… - Clinical Chemistry and …, 2023 - degruyter.com
Among medical specialties, laboratory medicine is the largest producer of structured data
and must play a crucial role for the efficient and safe implementation of big data and artificial …

Big data in healthcare: a discussion on the big challenges

A Stylianou, MA Talias - Health and Technology, 2017 - Springer
Our century has been described as the electronic age and every day new technologies or
applications, that generate data with exponential rates, are emerged. As a consequence, all …