Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
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 …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
A review of multisensor data fusion solutions in smart manufacturing: Systems and trends
Manufacturing companies increasingly become “smarter” as a result of the Industry 4.0
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Deep learning: Differential privacy preservation in the era of big data
In recent years, deep learning (DL) has been ubiquitous in several areas, such as text
recognition and data analysis, limited by this and increasingly used in security and data …
recognition and data analysis, limited by this and increasingly used in security and data …
Fuzzy consensus with federated learning method in medical systems
D Połap - IEEE Access, 2021 - ieeexplore.ieee.org
Large-scale group decision-making (LSGDM) is one of the main open problems where a
decision is made by many different results. Moreover, there is also a problem with how to …
decision is made by many different results. Moreover, there is also a problem with how to …
A cloud-based predictive model for the detection of breast cancer
Invasive cancer is the biggest cause of death worldwide, especially among women. Early
cancer detection is vital to health. Early identification of breast cancer improves prognosis …
cancer detection is vital to health. Early identification of breast cancer improves prognosis …
Problems of big data adoption in the healthcare industries
SK Pal, S Mukherjee, MM Baral… - Asia Pacific Journal of …, 2021 - search.informit.org
Big data offers the knowledge required for healthcare providers to streamline customer
service processes that customize healthcare and create best practices for communicating …
service processes that customize healthcare and create best practices for communicating …
From data to diagnosis: How machine learning is changing heart health monitoring
The rapid advances in science and technology in the field of artificial neural networks have
led to noticeable interest in the application of this technology in medicine. Given the need to …
led to noticeable interest in the application of this technology in medicine. Given the need to …
A novel cloud architecture for internet of space things (IoST)
The Internet of Things (IoT) has influenced technology in numerous ways. What started as a
network of physical devices communicating over the Internet grew tremendously …
network of physical devices communicating over the Internet grew tremendously …
A machine-learning method of predicting vital capacity plateau value for ventilatory pump failure based on data mining
W Chang, X Ji, L Wang, H Liu, Y Zhang, B Chen… - Healthcare, 2021 - mdpi.com
Ventilatory pump failure is a common cause of death for patients with neuromuscular
diseases. The vital capacity plateau value (VCPLAT) is an important indicator to judge the …
diseases. The vital capacity plateau value (VCPLAT) is an important indicator to judge the …