Medical knowledge extraction from big data, Koutsojannis, Constantinos M.
Автор: Goodman, Steven Название: Medical Cell Biology. 3Ed. ISBN: 0123704588 ISBN-13(EAN): 9780123704580 Издательство: Elsevier Science Рейтинг: Цена: 4883.00 р. Наличие на складе: Нет в наличии.
Описание: Focuses on the scientific aspects of cell biology useful to medical students, dental students, veterinary students, and prehealth undergraduates. This book explains general cell biology principles in the context of organ systems and human and animal disease.
Автор: Bryan S Turner Название: Medical Power and Social Knowledge ISBN: 0803975996 ISBN-13(EAN): 9780803975996 Издательство: Sage Publications Рейтинг: Цена: 11720.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: `Turner`s intelligible and readable style and his broad grasp of social theory and history make this volume an interesting blend of historical particularities and specific cross-national examples. It is a work that is both entertaining, informative and accessible` - Medical Sociology News
Автор: Wei Emma Zhang; Quan Z. Sheng Название: Managing Data From Knowledge Bases: Querying and Extraction ISBN: 3030069400 ISBN-13(EAN): 9783030069407 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, the authors first address the research issues by providing a motivating scenario, followed by the exploration of the principles and techniques of the challenging topics. Then they solve the raised research issues by developing a series of methodologies. More specifically, the authors study the query optimization and tackle the query performance prediction for knowledge retrieval. They also handle unstructured data processing, data clustering for knowledge extraction. To optimize the queries issued through interfaces against knowledge bases, the authors propose a cache-based optimization layer between consumers and the querying interface to facilitate the querying and solve the latency issue. The cache depends on a novel learning method that considers the querying patterns from individual’s historical queries without having knowledge of the backing systems of the knowledge base. To predict the query performance for appropriate query scheduling, the authors examine the queries’ structural and syntactical features and apply multiple widely adopted prediction models. Their feature modelling approach eschews the knowledge requirement on both the querying languages and system.To extract knowledge from unstructured Web sources, the authors examine two kinds of Web sources containing unstructured data: the source code from Web repositories and the posts in programming question-answering communities. They use natural language processing techniques to pre-process the source codes and obtain the natural language elements. Then they apply traditional knowledge extraction techniques to extract knowledge. For the data from programming question-answering communities, the authors make the attempt towards building programming knowledge base by starting with paraphrase identification problems and develop novel features to accurately identify duplicate posts. For domain specific knowledge extraction, the authors propose to use clustering technique to separate knowledge into different groups. They focus on developing a new clustering algorithm that uses manifold constraint in the optimization task and achieves fast and accurate performance.For each model and approach presented in this dissertation, the authors have conducted extensive experiments to evaluate it using either public dataset or synthetic data they generated.
Автор: Miroslav Bursa et al Название: Information Technology in Bio- and Medical Informatics ISBN: 3319642642 ISBN-13(EAN): 9783319642642 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2017, held in Lyon, France, in August 2017. The 3 revised full papers and 6 poster papers presented were carefully reviewed and selected from 15 submissions.
Автор: Krzysztof J. Cios Название: Medical Data Mining and Knowledge Discovery ISBN: 379082478X ISBN-13(EAN): 9783790824780 Издательство: Springer Рейтинг: Цена: 34029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Modern medicine generates, almost daily, huge amounts of heterogeneous data. Those who deal with such data understand that there is a widening gap between data collection and data comprehension.
Описание: This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion.
Автор: Andreas Holzinger; Peter Kieseberg; A Min Tjoa; Ed Название: Machine Learning and Knowledge Extraction ISBN: 303029725X ISBN-13(EAN): 9783030297251 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019.The 25 revised full papers presented were carefully reviewed and selected from 45 submissions.
Описание: Getting numbers is easy; getting trustworthy numbers is hard. From experimentation leaders at Amazon, Google, LinkedIn, and Microsoft, this guide to accelerating innovation using A/B tests includes practical examples, pitfalls, and advice for students and industry professionals, plus deeper dives into advanced topics for experienced practitioners.
Автор: Shalin Hai-Jew Название: Social Media Data Extraction and Content Analysis ISBN: 1522506489 ISBN-13(EAN): 9781522506485 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 33403.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores various social networking platforms and the technologies being utilized to gather and analyse information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.
Автор: Chu Wesley W. Название: Data Mining and Knowledge Discovery for Big Data ISBN: 3642408362 ISBN-13(EAN): 9783642408366 Издательство: Springer Рейтинг: Цена: 18237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book address topics ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.
Tell Me Why My Children Died tells the gripping story of indigenous leaders' efforts to identify a strange disease that killed thirty-two children and six young adults in a Venezuelan rain forest between 2007 and 2008. In this pathbreaking book, Charles L. Briggs and Clara Mantini-Briggs relay the nightmarish and difficult experiences of doctors, patients, parents, local leaders, healers, and epidemiologists; detail how journalists first created a smoke screen, then projected the epidemic worldwide; discuss the Chávez government's hesitant and sometimes ambivalent reactions; and narrate the eventual diagnosis of bat-transmitted rabies. The book provides a new framework for analyzing how the uneven distribution of rights to produce and circulate knowledge about health are wedded at the hip with health inequities. By recounting residents' quest to learn why their children died and documenting their creative approaches to democratizing health, the authors open up new ways to address some of global health's most intractable problems.
Tell Me Why My Children Died tells the gripping story of indigenous leaders' efforts to identify a strange disease that killed thirty-two children and six young adults in a Venezuelan rain forest between 2007 and 2008. In this pathbreaking book, Charles L. Briggs and Clara Mantini-Briggs relay the nightmarish and difficult experiences of doctors, patients, parents, local leaders, healers, and epidemiologists; detail how journalists first created a smoke screen, then projected the epidemic worldwide; discuss the Chávez government's hesitant and sometimes ambivalent reactions; and narrate the eventual diagnosis of bat-transmitted rabies. The book provides a new framework for analyzing how the uneven distribution of rights to produce and circulate knowledge about health are wedded at the hip with health inequities. By recounting residents' quest to learn why their children died and documenting their creative approaches to democratizing health, the authors open up new ways to address some of global health's most intractable problems.
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