AIMC Topic: Big Data

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Technological trends in Swedish medical libraries.

Health information and libraries journal
Medical libraries in Sweden are digitised to a large extent, technically advanced and developing rapidly. This paper investigates technological trends among Swedish medical libraries in the near and distant future and their application within differe...

A Weighted GraphSAGE-Based Context-Aware Approach for Big Data Access Control.

Big data
Context information is the key element to realizing dynamic access control of big data. However, existing context-aware access control (CAAC) methods do not support automatic context awareness and cannot automatically model and reason about context r...

The communication path and improvement strategy of symbolic culture of sneaker consumption culture using the big data analysis.

PloS one
With the emergence of Artificial Intelligence technology and the advancement of science and technology, the current mainstream path of social development is continuously updating and improving various industries using technology. Therefore, in order ...

A novel neural network model with distributed evolutionary approach for big data classification.

Scientific reports
The considerable improvement of technology produced for various applications has resulted in a growth in data sizes, such as healthcare data, which is renowned for having a large number of variables and data samples. Artificial neural networks (ANN) ...

Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting.

Computational intelligence and neuroscience
The objective of this work was to predict the risk of mortality rate in patients with coronary artery bypass grafting (CABG) based on the risk prediction model of CABG using artificial intelligence (AI) and big data technologies. The clinical data of...

A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs).

PloS one
Clinical data sharing can facilitate data-driven scientific research, allowing a broader range of questions to be addressed and thereby leading to greater understanding and innovation. However, sharing biomedical data can put sensitive personal infor...

From Corrective to Predictive Maintenance-A Review of Maintenance Approaches for the Power Industry.

Sensors (Basel, Switzerland)
Appropriate maintenance of industrial equipment keeps production systems in good health and ensures the stability of production processes. In specific production sectors, such as the electrical power industry, equipment failures are rare but may lead...

Differentially private knowledge transfer for federated learning.

Nature communications
Extracting useful knowledge from big data is important for machine learning. When data is privacy-sensitive and cannot be directly collected, federated learning is a promising option that extracts knowledge from decentralized data by learning and exc...

Population-Based Applications and Analytics Using Patient-Reported Outcome Measures.

The Journal of the American Academy of Orthopaedic Surgeons
The intersection of big data and artificial intelligence (AI) has resulted in advances in numerous areas, including machine learning, computer vision, and natural language processing. Although there are many potentially transformative applications of...