Low-Overhead Communications in Iot Networks: Structured Signal Processing Approaches, Shi Yuanming, Dong Jialin, Zhang Jun
Автор: Neustein Amy Название: Text Mining of Web-Based Medical Content ISBN: 1614515417 ISBN-13(EAN): 9781614515418 Издательство: Walter de Gruyter Цена: 12078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: •Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature.•Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing.•Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include:•Mining Biomedical Literature and Clinical Narratives •Medication Information Extraction •Machine Learning Techniques for Mining Medical Search Queries •Detecting the Level of Personal Health Information Revealed in Social Media •Curating Layperson’s Personal Experiences with Health Care from Social Media and Twitter •Health Dialogue Systems for Improving Access to Online Content •Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired •Semantic-based Visual Information Retrieval for Mining Radiographic Image Data •Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions
Автор: Ren? Carr?, Pierre Divenyi, Mohamad Mrayati Название: Speech: A dynamic process ISBN: 1501510606 ISBN-13(EAN): 9781501510601 Издательство: Walter de Gruyter Рейтинг: Цена: 13008.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Speech: A dynamic process takes readers on a rigorous exploratory journey to expose them to the inherently dynamic nature of speech. The book addresses an intriguing question: Based only on physical principles alone, can the exploitation of a simple acoustic tube evolve into an optimal speech production system comparable to the one we possess? In the work presented, the tube is deformed step by step with the sole criterion of expending minimum effort to obtain maximum acoustic variations. At the end of this process, the tube is found divided into distinctive regions and an acoustic space emerges capable of generating speech sounds. Attaching this tube to a model, an inherently dynamic and efficient system is created. In the resulting system, optimal primitive trajectories are seen to naturally exist in the acoustic space and the regions defined in the tube correspond to the main places of articulation for oral vowels and plosive consonants. All this implies that these speech sounds are inherent properties of not only the modeled acoustic tube but also of the human speech production system. This book stands as a valuable resource for accomplished and aspiring speech scientists as well as for other interested persons in search for an introduction to speech acoustics that takes an unconventional path.
Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.
Автор: K. J. Ray Liu, Beibei Wang Название: Wireless AI: Wireless Sensing, Positioning, IoT, and Communications ISBN: 1108497861 ISBN-13(EAN): 9781108497862 Издательство: Cambridge Academ Рейтинг: Цена: 18216.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A highly innovative and groundbreaking text explaining how wireless AI can be used to determine position, sense motion, and identity of objects and people. Covering theory, experimental results, and IoT applications, it is a must read for graduate students, researchers, and professionals working in signal processing and wireless communications.
Автор: Flach Название: Machine Learning ISBN: 1107422221 ISBN-13(EAN): 9781107422223 Издательство: Cambridge Academ Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.
Автор: Maria Adela Grando, Ronen Rozenblum, David Bates Название: Information Technology for Patient Empowerment in Healthcare ISBN: 1614515921 ISBN-13(EAN): 9781614515920 Издательство: Walter de Gruyter Цена: 13937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Aims and ScopePatients are more empowered to shape their own health care today than ever before. Health information technologies are creating new opportunities for patients and families to participate actively in their care, manage their medical problems and improve communication with their healthcare providers. Moreover, health information technologies are enabling healthcare providers to partner with their patients in a bold effort to optimize quality of care, improve health outcomes and transform the healthcare system on the macro-level.In this book, leading figures discuss the existing needs, challenges and opportunities for improving patient engagement and empowerment through health information technology, mapping out what has been accomplished and what work remains to truly transform the care we deliver and engage patients in their care. Policymakers, healthcare providers and administrators, consultants and industry managers, researchers and students and, not least, patients and their family members should all find value in this book. "In the exciting period that lies just ahead, more will be needed than simply connecting patients to clinicians, and clinicians to each other. The health care systems that will be most effective in meeting patients' needs will be those that can actually design their 'human wares' around that purpose. This book provides deep insight into how information technology can and will support that redesign."Thomas H. Lee, MD, MSc, Chief Medical Officer, Press Ganey Associates; Professor of Medicine, Harvard Medical School and Professor of Health Policy and Management, Harvard School of Public Health The Editors: Drs. Maria Adela Grando, Ronen Rozenblum and David W. Bates are widely recognized professors, researchers and experts in the domain of health information technology, patient engagement and empowerment. Their research, lectures and contributions in these domains have been recognized nationally and internationally. Dr. Grando is affiliated with Arizona State University and the Mayo Clinic, and Drs. Rozenblum and Bates are affiliated with Brigham and Women's Hospital and Harvard University.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
