Advanced Prognostic Predictive Modelling in Healthcare Data Analytics, Roy Sudipta, Goyal Lalit Mohan, Mittal Mamta
Автор: Fusheng Wang; Lixia Yao; Gang Luo Название: Data Management and Analytics for Medicine and Healthcare ISBN: 3319577409 ISBN-13(EAN): 9783319577401 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.
Автор: Roy Sudipta, Goyal Lalit Mohan, Mittal Mamta Название: Advanced Prognostic Predictive Modelling in Healthcare Data Analytics ISBN: 9811605378 ISBN-13(EAN): 9789811605376 Издательство: Springer Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis.
Автор: Kulkarni Anand J., Siarry Patrick, Singh Pramod Kumar Название: Big Data Analytics in Healthcare ISBN: 3030316742 ISBN-13(EAN): 9783030316747 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare.
Автор: Vijay Gadepally; Timothy Mattson; Michael Stonebra Название: Heterogeneous Data Management, Polystores, and Analytics for Healthcare ISBN: 3030141764 ISBN-13(EAN): 9783030141769 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An Improved BigDAWG Architecture.- Multi-Model Database Management Systems - a Look Forward.- Progressive Interactions Between Data Sources.- TDM: A Tensor Data Model for Logical Data Independence in Polystore Systems.- Sketching data structures for massive graph problems.- Managing Structurally Heterogeneous Databases in Software Product Lines.- PDSPTF: Polystore Database System for Scalability and Access to PTF Time-domain Astronomy Data Archives.- API Federation in the BigDAWG Polystore.- Augmented Therapy with Online Support Groups.- RHCS - A Clinical Recommendation System for Geriatric Patients.- Implementation of a Medical Coding Support System by Combining Approaches: NLP and Machine Learning.- Building a Research-Quality Copy Number Variation Data Repository for Translational Research.- Data-Driven Genomic Computing: Making Sense of the Signals from the Genome.- DEAME - Differential Expression Analysis Made Easy.
Автор: Cohen Maxime C., Gras Paul-Emile, Pentecoste Arthur Название: Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics ISBN: 3030858545 ISBN-13(EAN): 9783030858544 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers.
Автор: Machado Josй, Peixoto Hugo, Sousa Regina Название: Big Data Analytics and Artificial Intelligence in the Healthcare Industry ISBN: 1799891720 ISBN-13(EAN): 9781799891727 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 633370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focuses on technologies and emerging topics regarding innovative solutions applied to the healthcare industry, including Big Data and Artificial Intelligence for enhancing human quality of life, as well as related challenges. The book also presents research on theoretical, methodological, and technological developments, and new applications.
Автор: Das Monidipa, Ghosh Soumya K. Название: Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics ISBN: 3030277518 ISBN-13(EAN): 9783030277512 Издательство: Springer Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data.
Автор: Kumar R. Lakshmana, Indrakumari R., Balamurugan B. Название: Exploratory Data Analytics for Healthcare ISBN: 0367506912 ISBN-13(EAN): 9780367506919 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way.
Автор: Kumar Abhishek, Dubey Ashutosh Kumar, Anavatti Sreenatha G. Название: Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics ISBN: 0367676338 ISBN-13(EAN): 9780367676339 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the last two decades, machine learning has been dramatically developed and is still experiencing a fast and ever-lasting change in paradigm, methodology, applications, and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on the diversity and complexity.
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Автор: Chakraborty Chinmay, Ghosh Uttam, Ravi Vinayakumar Название: Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics ISBN: 3030666328 ISBN-13(EAN): 9783030666323 Издательство: Springer Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics.
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