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Big data applications: Overview, challenges and future
Big Data (ie, social big data, vehicular big data, healthcare big data etc) points to massive
and complex data, that require special technologies and approaches for storage …
and complex data, that require special technologies and approaches for storage …
Heap bucketization anonymity—An efficient privacy-preserving data publishing model for multiple sensitive attributes
The publication of a patient's dataset is essential for various medical investigations and
decision-making. Currently, significant focus has been established to protect privacy during …
decision-making. Currently, significant focus has been established to protect privacy during …
[HTML][HTML] Application of machine learning models for early detection and accurate classification of type 2 diabetes
Early detection of diabetes is essential to prevent serious complications in patients. The
purpose of this work is to detect and classify type 2 diabetes in patients using machine …
purpose of this work is to detect and classify type 2 diabetes in patients using machine …
Systematic Review of Business Intelligence and Analytics Capabilities in Healthcare Using PRISMA
This systematic review explores the role of Business Intelligence and Analytics (BI&A) in
healthcare, focusing on its applications, benefits, and challenges. Using the PRISMA …
healthcare, focusing on its applications, benefits, and challenges. Using the PRISMA …
[PDF][PDF] Data visualization analysis based on explainable artificial intelligence: A survey
With the rapid development of computer hardware and big data processing technology, the
bottleneck of intelligent analysis of massive data has changed from” how to deal with …
bottleneck of intelligent analysis of massive data has changed from” how to deal with …
MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis
Objectives This article describes the design and evaluation of MS Pattern Explorer, a novel
visual tool that uses interactive machine learning to analyze fitness wearables' data. Applied …
visual tool that uses interactive machine learning to analyze fitness wearables' data. Applied …
NetLabeller: Architecture with data extraction and labelling framework for beyond 5G networks
The next generation of network capabilities coupled with artificial intelligence (AI) can
provide innovative solutions for network control and self-optimisation. Network control …
provide innovative solutions for network control and self-optimisation. Network control …
Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology
X Kong, R Peng, H Dai, Y Li, Y Lu, X Sun… - Frontiers in Public …, 2022 - frontiersin.org
Background Artificial intelligence technology has become a mainstream trend in the
development of medical informatization. Because of the complex structure and a large …
development of medical informatization. Because of the complex structure and a large …
Trivial State Fuzzy Processing for Error Reduction in Healthcare Big Data Analysis towards Precision Diagnosis
There is a significant public health concern regarding medical diagnosis errors, which are a
major cause of mortality. Identifying the root cause of these errors is challenging, and even if …
major cause of mortality. Identifying the root cause of these errors is challenging, and even if …
[HTML][HTML] Exploiting big data for experiment reporting: the hi-drive collaborative research project case
As timely information about a project's state is key for management, we developed a data
toolchain to support the monitoring of a project's progress. By extending the Measurify …
toolchain to support the monitoring of a project's progress. By extending the Measurify …