Data Mining in Biomedicine

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Release : 2008-12-10
Genre : Medical
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Book Rating : 19X/5 ( reviews)

Data Mining in Biomedicine - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining in Biomedicine write by Panos M. Pardalos. This book was released on 2008-12-10. Data Mining in Biomedicine available in PDF, EPUB and Kindle. This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Medical Informatics

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Release : 2006-07-19
Genre : Medical
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Book Rating : 39X/5 ( reviews)

Medical Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Medical Informatics write by Hsinchun Chen. This book was released on 2006-07-19. Medical Informatics available in PDF, EPUB and Kindle. Comprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

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Release : 2014-06-17
Genre : Computers
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Book Rating : 689/5 ( reviews)

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Interactive Knowledge Discovery and Data Mining in Biomedical Informatics write by Andreas Holzinger. This book was released on 2014-06-17. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics available in PDF, EPUB and Kindle. One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Data Mining in Biomedical Imaging, Signaling, and Systems

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Release : 2016-04-19
Genre : Computers
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Book Rating : 395/5 ( reviews)

Data Mining in Biomedical Imaging, Signaling, and Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining in Biomedical Imaging, Signaling, and Systems write by Sumeet Dua. This book was released on 2016-04-19. Data Mining in Biomedical Imaging, Signaling, and Systems available in PDF, EPUB and Kindle. This comprehensive volume demonstrates the broad scope of uses for data mining and includes detailed strategies and methodologies for analyzing data from biomedical images, signals, and systems. Written by experts in the field, it presents data mining techniques in the context of various important clinical issues, including diagnosis and grading of depression, identification and classification of arrhythmia and ischemia, and description of classification paradigms for mammograms. The book provides ample information and techniques to benefit researchers, practitioners, and educators of biomedical science and engineering.

Temporal Data Mining

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Release : 2010-03-10
Genre : Business & Economics
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Book Rating : 773/5 ( reviews)

Temporal Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Temporal Data Mining write by Theophano Mitsa. This book was released on 2010-03-10. Temporal Data Mining available in PDF, EPUB and Kindle. From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references.