AIMC Topic: Big Data

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MitoScape: A big-data, machine-learning platform for obtaining mitochondrial DNA from next-generation sequencing data.

PLoS computational biology
The growing number of next-generation sequencing (NGS) data presents a unique opportunity to study the combined impact of mitochondrial and nuclear-encoded genetic variation in complex disease. Mitochondrial DNA variants and in particular, heteroplas...

Obesity Mass Monitoring in Medical Big Data Based on High-Order Simulated Annealing Neural Network Algorithm.

Computational intelligence and neuroscience
With the rapid development of information technology, hospital informatization has become the general trend. In this context, disease monitoring based on medical big data has been proposed and has aroused widespread concern. In order to overcome the ...

Neural Network-Oriented Big Data Model for Yoga Movement Recognition.

Computational intelligence and neuroscience
The use of computer vision for target detection and recognition has been an interesting and challenging area of research for the past three decades. Professional athletes and sports enthusiasts in general can be trained with appropriate systems for c...

Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN).

Computational intelligence and neuroscience
With the advent of the information age, human demand for information is increasing day by day. The emergence of the concept of big data has triggered a new round of technological revolution, and visual information plays an important role in informati...

A decade of machine learning-based predictive models for human pharmacokinetics: Advances and challenges.

Drug discovery today
Traditionally, in vitro and in vivo methods are useful for estimating human pharmacokinetics (PK) parameters; however, it is impractical to perform these complex and expensive experiments on a large number of compounds. The integration of publicly av...

Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach.

International journal of environmental research and public health
Coronavirus disease (COVID-19) spreads from one person to another rapidly. A recently discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and cure at an early stage all over the world. Patients showing symptoms of COVID-...

Feature Selection and Feature Stability Measurement Method for High-Dimensional Small Sample Data Based on Big Data Technology.

Computational intelligence and neuroscience
With the rapid development of artificial intelligence in recent years, the research on image processing, text mining, and genome informatics has gradually deepened, and the mining of large-scale databases has begun to receive more and more attention....

Application and Effectiveness of Big Data and Artificial Intelligence in the Construction of Nursing Sensitivity Quality Indicators.

Journal of healthcare engineering
In order to explore the quality management efficiency of applying big data and artificial intelligence in nursing quality index, a method of building a nursing management platform integrating nursing indicators and nursing events is proposed. Based o...

Privacy and artificial intelligence: challenges for protecting health information in a new era.

BMC medical ethics
BACKGROUND: Advances in healthcare artificial intelligence (AI) are occurring rapidly and there is a growing discussion about managing its development. Many AI technologies end up owned and controlled by private entities. The nature of the implementa...