Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.
Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges
Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications
Introduces several techniques for medical image processing and analysis for CAD systems design
Автор: Siuly Siuly, Li Yan, Zhang Yanchun Название: Eeg Signal Analysis and Classification: Techniques and Applications ISBN: 3319837915 ISBN-13(EAN): 9783319837918 Издательство: Springer Рейтинг: Цена: 112250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems.
Автор: Van Boven Kees, Ten Napel Huib Название: Icpc-3 International Classification of Primary Care: User Manual and Classification ISBN: 1032053399 ISBN-13(EAN): 9781032053394 Издательство: Taylor&Francis Рейтинг: Цена: 30610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This edition is indispensable for anyone wishing to use the international classification system for morbidity and functioning data in a primary care setting. Classification has been rewritten to reflect the continued shift in the health paradigm of primary care and public health.
Автор: Moorhead, Sue Название: Nursing Outcomes Classification (NOC) ISBN: 0323497640 ISBN-13(EAN): 9780323497640 Издательство: Elsevier Science Рейтинг: Цена: 65820.00 T Наличие на складе: Поставка под заказ. Описание: Promoting safe and effective nursing care, Nursing Outcomes Classification (NOC), 6th Edition standardizes the terminology and criteria needed to measure and evaluate outcomes that result from nursing interventions. Over 540 research-based nursing outcome labels - including50 that are NEW to this edition - help to standardize expected patient outcomes. Specific indicators make it easier to evaluate and rate the patient in relation to outcome achievement.
Written by an expert author team led by Sue Moorhead, this book is ideal for practicing nurses, students, educators, researchers, and administrators seeking to improve cost containment and patient outcomes. 540 research-based nursing outcome labels promote standardization of expected patient outcomes. Definitions, lists of indicators, publication facts lines, and references provide all of the information you need to understand outcomes.
NEW! Approximately 50 new outcome labels allow you to better define patient outcomes that are responsive to nursing care.
Автор: Nilanjan Dey; Amira S. Ashour; Surekha Borra Название: Classification in BioApps ISBN: 3319881426 ISBN-13(EAN): 9783319881423 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Поставка под заказ. Описание: This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.
NANDA-I supplement provides in-depth insights on current and upcoming nursing diagnoses
This supplement to the NANDA International Nursing Diagnoses: Definitions and Classification, 2018-2020 (11th Edition) is a succinct, generously illustrated companion to the comprehensive textbook by T. Heather Herdman and Shigemi Kamitsuru. The 11th edition is the definitive guide on nursing diagnoses, as reviewed and approved by NANDA International (NANDA-I), the leading professional organization that develops, researches, disseminates, and refines nursing taxonomy.
This book is designed to give current users of the full text a "quick glance" into what is new in the latest edition and more in-depth information on key changes, including new diagnoses. Four chapters provide insightful commentary on changes, new categories, revisions, and taxonomy deletions; core issues that impact diagnoses; three types of clinical reasoning models: problem-focused, risk nursing diagnosis, and health promotion diagnosis; and 17 new nursing diagnoses.
Key Features
Explanation of standardized terminology changes used in nursing diagnostic indicators, including defining characteristics, related factors, and risk factors
The addition of visual flow charts enhances understanding of the essential steps required to make accurate diagnoses
Discussion of conceptual issues the authors anticipate will require additional clarification in the upcoming 12th edition, including recommendations for modification
The must-have supplement enhances understanding, supports education, and facilitates implementation of important diagnostic changes in daily practice. All practitioners, including nursing students, professional nurses, nurse educators, nurse informaticists, and nurse administrators, who utilize the primary text will benefit from reading this companion piece.
Автор: Thuy T. Pham Название: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings ISBN: 3319986740 ISBN-13(EAN): 9783319986746 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.
Автор: Yaradoddi Jayachandra S., Kontro Merja Hannele, Ganachari Sharanabasava V. Название: Actinobacteria: Ecology, Diversity, Classification and Extensive Applications ISBN: 9811633525 ISBN-13(EAN): 9789811633522 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Through this book, the readers will learn about the different aspects of Actinobacteria- beginning with its ecology and occurrence, to the ways of its adaptation to harsh climates, and finally to its practical applications.
Автор: Melin Patricia, Guzmбn Juan Carlos, Prado-Arechiga German Название: Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis ISBN: 3030604802 ISBN-13(EAN): 9783030604806 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It highlights how fundamentalist, business-oriented Christians in the United States were instrumental in the neoliberal turn in US hegemony, how Christianity, in the form of prosperity religion, transformed Latin America, and how reactionary religious movements sharpened state competition through illiberal politics in Turkey, India, and elsewhere.
Автор: Kamran Kiasaleh Название: Biological Signals Classification and Analysis ISBN: 3642548784 ISBN-13(EAN): 9783642548789 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems.
Автор: J. Rispens; T.A. van Yperen; W. Yule Название: Perspectives on the Classification of Specific Developmental Disorders ISBN: 9048149614 ISBN-13(EAN): 9789048149612 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Perspectives on the Classification of Specific Developmental Disorders is an up-to-date review of the controversy surrounding the classification of such disparate disorders as reading, spelling, writing, and language disorders.
Автор: Adam Gacek; Witold Pedrycz Название: ECG Signal Processing, Classification and Interpretation ISBN: 1447159209 ISBN-13(EAN): 9781447159209 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The volume shows how the various paradigms of computational intelligence, employed individually or in combination, can produce an effective structure for obtaining often vital information from ECG signals.
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