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Craven offer a concise and accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the relevant sources;
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Biomedical Data Mining is an ever growing area of Natural Laguage Processing. This book provides an introduction to this field and its;
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of unstructured information. This big data challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an;
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This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;
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Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;
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, Signaling, and Systems provides an in-depth examination of the biomedical and clinical applications of data mining. It supplies examples;
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, Signaling, and Systems provides an in-depth examination of the biomedical and clinical applications of data mining. It supplies examples;
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have been developed and improved. This work aimed at the development of a broad scale text mining system covering a multitude of relation as;
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. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical;
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on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure;
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on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure;
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Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical;
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This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing;
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This book constitutes the proceedings of the 13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017, held;
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Medical Image Databases covers the new technologies of biomedical imaging databases and their applications in clinical services;
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Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and;
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cover biomechanics and bioimaging, biomedical decision support system, data mining, personalized diagnoses, bio-signal processing, protein;
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What Are the Roles, Actions and Positions of Non-Formal Biomedical Prescribers and Providers in Developing Countries? a Systematic;
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Recognition Computer Communication Networks Hardware and Optimization Data Mining Software Engineering Distributed Systems Biomedical;
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biomedical applications. This volume examines the concepts, problems, progress, and trends in developing and applying new data mining techniques;
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biomedical applications. This volume examines the concepts, problems, progress, and trends in developing and applying new data mining techniques;
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knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;
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knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;
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can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing;
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prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web;
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prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web;
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applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These;
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