A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system

W Li, Y Chai, F Khan, SRU Jan, S Verma… - Mobile networks and …, 2021 - Springer
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …

Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective

ZF Khan, SR Alotaibi - Journal of healthcare engineering, 2020 - Wiley Online Library
Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

A deep learning approach for ECG-based heartbeat classification for arrhythmia detection

G Sannino, G De Pietro - Future Generation Computer Systems, 2018 - Elsevier
Classification is one of the most popular topics in healthcare and bioinformatics, especially
in relation to arrhythmia detection. Arrhythmias are irregularities in the rate or rhythm of the …

Diagnosing of disease using machine learning

P Singh, N Singh, KK Singh, A Singh - Machine learning and the internet of …, 2021 - Elsevier
The role of machine learning in the healthcare industry is inevitable due to its power to use
in disease detection and management. Disease diagnosis using machine-learning …

Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts

A Ahmed, R Xi, M Hou, SA Shah, S Hameed - IEEE Access, 2023 - ieeexplore.ieee.org
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

[HTML][HTML] Implications of big data analytics in developing healthcare frameworks–A review

V Palanisamy, R Thirunavukarasu - … of King Saud University-Computer and …, 2019 - Elsevier
The domain of healthcare acquired its influence by the impact of big data since the data
sources involved in the healthcare organizations are well-known for their volume …

The secondary use of electronic health records for data mining: Data characteristics and challenges

T Sarwar, S Seifollahi, J Chan, X Zhang… - ACM Computing …, 2022 - dl.acm.org
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

Large-scale retrieval for medical image analytics: A comprehensive review

Z Li, X Zhang, H Müller, S Zhang - Medical image analysis, 2018 - Elsevier
Over the past decades, medical image analytics was greatly facilitated by the explosion of
digital imaging techniques, where huge amounts of medical images were produced with …

Multimedia big data analytics: A survey

S Pouyanfar, Y Yang, SC Chen, ML Shyu… - ACM computing surveys …, 2018 - dl.acm.org
With the proliferation of online services and mobile technologies, the world has stepped into
a multimedia big data era. A vast amount of research work has been done in the multimedia …

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 …