Deep learning techniques for biomedical and health informatics,
Автор: Kalet Ira J. Название: Principles of Biomedical Informatics, 2 ed ISBN: 0124160190 ISBN-13(EAN): 9780124160194 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a treatment of the deep computational ideas at the foundation of the field. This book includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use.
Описание: Addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.
Автор: Sujata Dash; Biswa Ranjan Acharya; Mamta Mittal; A Название: Deep Learning Techniques for Biomedical and Health Informatics ISBN: 3030339653 ISBN-13(EAN): 9783030339654 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model.
This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health.
It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.
Автор: Yuan-Ting Zhang; Paulo Carvalho; Ratko Magjarevic Название: International Conference on Biomedical and Health Informatics ISBN: 9811045046 ISBN-13(EAN): 9789811045042 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the proceedings of the International Conference on Biomedical and Health Informatics (ICBHI). The conference was a new special topic conference and a common initiative by the International Federation of Medical and Biological Engineering (IFMBE) and IEEE Engineering in Medicine and Biology Society (IEEE- EMBS). BHI2015 was held in Haikou, China, 8-10 October 2015. The main theme of the BHI2015 is "The Convergence: Integrating Information and Communication Technologies with Biomedicine for Global Health".
The ICBHI2015 proceedings examine enabling technologies of sensors, devices and systems that optimize the acquisition, transmission, processing, storage, retrieval, use of biomedical and health information as well as to report novel clinical applications of health information systems and the deployment of m-Health, e-Health, u-Health, p-Health and Telemedicine.
Описание: This book gathers the proceedings of the IV International Conference on Biomedical and Health Informatics (ICBHI 2019), held on 17-20 April, 2019, in Taipei, Taiwan.
Автор: Dawn E. Holmes; Lakhmi C. Jain Название: Advances in Biomedical Informatics ISBN: 3319675125 ISBN-13(EAN): 9783319675121 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advances in Biomedical Informatics: An Introduction.- Digital Health Research Methods and Tools.- Machine Learning for Structured Clinical Data.- Defining and Learning Interactive Causes.- Bayesian Network Modeling for Specific Health Checkups on Metabolic Syndrome.- Unsupervised Detection and Analysis of Changes in Everyday Physical Activity Data.- Machine Learning Applied to Optometry Data.- Intelligent Decision Support Systems in Automated Medical Diagnosis.- On the Automation of Medical Knowledge and Medical Decision Support Systems.- Vital Signs Telemonitoring by using Smart Body Area Networks, Mobile Devices and Advanced Signal Processing.- Preprocessing in High Dimensional Datasets.- Analysis of Questionnaire Survey on Psychic Characteristics in the Elderly Using Quantification Theory II.
Автор: Dawn E. Holmes; Lakhmi C. Jain Название: Advances in Biomedical Informatics ISBN: 3319884425 ISBN-13(EAN): 9783319884424 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Поставка под заказ.
Описание:
This book presents authoritative recent research on Biomedical Informatics, bringing together contributions from some of the most respected researchers in this field.
Biomedical Informatics represents a growing area of interest and innovation in the management of health-related data, and is essential to the development of focused computational models. Outlining the direction of current research, the book will be of considerable interest to theoreticians and application scientists alike. Further, as all chapters are self-contained, it also provides a valuable sourcebook for graduate students.
Автор: Ira J. Kalet, PhD Название: Principles of Biomedical Informatics, ISBN: 0123694388 ISBN-13(EAN): 9780123694386 Издательство: Elsevier Science Рейтинг: Цена: 10778.00 р. Наличие на складе: Поставка под заказ.
Описание: Gives a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. This work covers the application of these principles to three biomedical domains of basic biology, clinical medicine, and public health.
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