Handbook of Data Science Approaches for Biomedical Engineering

Download or Read online Handbook of Data Science Approaches for Biomedical Engineering full in PDF, ePub and kindle. This book written by Valentina Emilia Balas and published by Academic Press which was released on 13 November 2019 with total pages 318. We cannot guarantee that Handbook of Data Science Approaches for Biomedical Engineering book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Handbook of Data Science Approaches for Biomedical Engineering
Author :
Publisher : Academic Press
Release Date :
ISBN : 9780128183199
Pages : 318 pages
Rating : /5 ( users)
GET BOOK!

Download or Read Online Handbook of Data Science Approaches for Biomedical Engineering in PDF, Epub and Kindle

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical

GET BOOK!
Efficient Data Handling for Massive Internet of Medical Things

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. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing

GET BOOK!
Data Deduplication Approaches

In the age of data science, the rapidly increasing amount of data is a major concern in numerous applications of computing operations and data storage. Duplicated data or redundant data is a main challenge in the field of data science research. Data Deduplication Approaches: Concepts, Strategies, and Challenges shows readers

GET BOOK!
Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help

GET BOOK!
Internet of Things for Healthcare Technologies

This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine

GET BOOK!
Web Information Systems Engineering     WISE 2020

This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020. The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network;

GET BOOK!
Artificial Intelligence Techniques in IoT Sensor Networks

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present

GET BOOK!
Green Computing and Predictive Analytics for Healthcare

Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and

GET BOOK!
Privacy and Security Issues in Big Data

This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment

GET BOOK!
Big Data Analysis for Green Computing

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics. Big Data Analysis for Green Computing: Concepts and Applications

GET BOOK!
Augmented Intelligence in Healthcare  A Pragmatic and Integrated Analysis

Download or read online Augmented Intelligence in Healthcare A Pragmatic and Integrated Analysis written by Sushruta Mishra, published by Springer Nature which was released on . Get Augmented Intelligence in Healthcare A Pragmatic and Integrated Analysis Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Smart Healthcare Analytics  State of the Art

This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring

GET BOOK!
Proceedings of International Conference on Sustainable Expert Systems

This book includes papers on intelligent expert systems and sustainability applications in the areas of data science, image processing, wireless communication, risk assessment, healthcare, intelligent social network mining, and energy. The recent growth of sustainability leads to a progressively new era of computing, where its design and deployment leverages significant

GET BOOK!
Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Download or read online Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis written by Subhendu Kumar Pani, published by Springer Nature which was released on . Get Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis Books now! Available in PDF, ePub

GET BOOK!
Artificial Intelligence and the Fourth Industrial Revolution

This book presents the overall technology spectrum in artificial intelligence (AI) and the Fourth Industrial Revolution, which is set to revolutionize the world. It discusses their various aspects and related case studies from industry, academics, administration, law, finance, and accounting as well as educational technology. The contributors, who are experts

GET BOOK!