Pattern Recognition And Application Pdf
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- Pattern Recognition Application in ECG Arrhythmia Classification
- Pattern Recognition in Medical Decision Support
- Pattern Recognition
Recent advances in data acquisition and various monitoring modalities have resulted in generating and collecting a growing volume of biological and medical data at unprecedented speed and scale [ 1 ]. These accumulated data can be utilized for a more effective delivery of care and enhanced clinical decision-making [ 2 ]. However, analysis of these tremendous amounts of data—collected from electronic health records or monitoring devices—to extract useful information for a more broad-based health-care delivery is one of the main challenges of today's medicine [ 3 ]. Medical decision support systems help clinicians to best exploit these overwhelming amount of data by providing a computerized platform for integrating evidence-based knowledge and patient-specific information into an enhanced and cost-effective health care [ 4 ]. Over the last decade, various pattern recognition techniques have been applied to biomedical data including signals and images for automatic and machine-based clinical diagnostic and therapeutic support.
Pattern Recognition Application in ECG Arrhythmia Classification
Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science.
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Statistical pattern recognition: a review Abstract: The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have been receiving increasing attention.
The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring.
Pattern Recognition in Medical Decision Support
It seems that you're in Germany. We have a dedicated site for Germany. The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas e. It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified and innovative way, with multiple examples enhancing the clarification of concepts and the application of methods.
Conflicts of Interest
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