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Handbook Of Data Science Approaches For Biomedical Engineering

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Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering Book
Author : Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Publisher : Academic Press
Release : 2019-11-13
ISBN : 0128183195
Language : En, Es, Fr & De

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Book Description :

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

Efficient Data Handling for Massive Internet of Medical Things

Efficient Data Handling for Massive Internet of Medical Things Book
Author : Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke
Publisher : Springer Nature
Release : 2021-09-01
ISBN : 3030666336
Language : En, Es, Fr & De

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Book Description :

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 health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.

Data Deduplication Approaches

Data Deduplication Approaches Book
Author : Tin Thein Thwel,G. R. Sinha
Publisher : Academic Press
Release : 2020-11-25
ISBN : 0128236337
Language : En, Es, Fr & De

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Book Description :

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 the various methods that can be used to eliminate multiple copies of the same files as well as duplicated segments or chunks of data within the associated files. Due to ever-increasing data duplication, its deduplication has become an especially useful field of research for storage environments, in particular persistent data storage. Data Deduplication Approaches provides readers with an overview of the concepts and background of data deduplication approaches, then proceeds to demonstrate in technical detail the strategies and challenges of real-time implementations of handling big data, data science, data backup, and recovery. The book also includes future research directions, case studies, and real-world applications of data deduplication, focusing on reduced storage, backup, recovery, and reliability. Includes data deduplication methods for a wide variety of applications Includes concepts and implementation strategies that will help the reader to use the suggested methods Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable methods for their applications Focuses on reduced storage, backup, recovery, and reliability, which are the most important aspects of implementing data deduplication approaches Includes case studies

Impact of AI and Data Science in Response to Coronavirus Pandemic

Impact of AI and Data Science in Response to Coronavirus Pandemic Book
Author : Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Publisher : Springer Nature
Release : 2021-07-22
ISBN : 981162786X
Language : En, Es, Fr & De

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Book Description :

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics

Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics Book
Author : Pradeep N,Sandeep Kautish,Sheng-Lung Peng
Publisher : Academic Press
Release : 2021-06-25
ISBN : 0128220449
Language : En, Es, Fr & De

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Book Description :

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 biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation

Internet of Things for Healthcare Technologies

Internet of Things for Healthcare Technologies Book
Author : Chinmay Chakraborty,Amit Banerjee,Maheshkumar H. Kolekar,Lalit Garg,Basabi Chakraborty
Publisher : Springer Nature
Release : 2020-06-08
ISBN : 9811541124
Language : En, Es, Fr & De

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Book Description :

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 learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

Web Information Systems Engineering WISE 2020

Web Information Systems Engineering     WISE 2020 Book
Author : Zhisheng Huang,Wouter Beek,Hua Wang,Rui Zhou,Yanchun Zhang
Publisher : Springer Nature
Release : 2020-10-20
ISBN : 3030620085
Language : En, Es, Fr & De

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Book Description :

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; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications

Artificial Intelligence Techniques in IoT Sensor Networks

Artificial Intelligence Techniques in IoT Sensor Networks Book
Author : Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Publisher : CRC Press
Release : 2020-12-18
ISBN : 1000318702
Language : En, Es, Fr & De

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Book Description :

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 and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.

Green Computing and Predictive Analytics for Healthcare

Green Computing and Predictive Analytics for Healthcare Book
Author : Sourav Banerjee,Chinmay Chakraborty,Kousik Dasgupta
Publisher : CRC Press
Release : 2020-12-10
ISBN : 1000223949
Language : En, Es, Fr & De

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Book Description :

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 technologies. The rapid growth of the population is a challenging issue in maintaining and monitoring various experiences of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually becoming Internet of Things-enabled, and sensors, work data and the involvement of networking are creating smart campuses and smart houses. The book includes chapters on the Internet of Things and Big Data technologies. Features: Biomedical data monitoring under the Internet of Things Environment data sensing and analyzing Big data analytics and clustering Machine learning techniques for sudden cardiac death prediction Robust brain tissue segmentation Energy-efficient and green Internet of Things for healthcare applications Blockchain technology for the healthcare Internet of Things Advanced healthcare for domestic medical tourism system Edge computing for data analytics This book on Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a master’s course in biomedical engineering. This book will also present new methods for medical data evaluation and the diagnosis of different diseases to improve quality-of-life in general and for better integration of Internet of Things into society. Dr. Sourav Banerjee is an Assistant Professor at the Department of Computer Science and Engineering of Kalyani Government Engineering College, Kalyani, West Bengal, India. His research interests include Big Data, Cloud Computing, Distributed Computing and Mobile Communications. Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, WBAN, Wireless Networks, Telemedicine, m-Health/e-Health and Medical Imaging. Dr. Kousik Dasgupta is an Assistant Professor at the Department of Computer Science and Engineering, Kalyani Government Engineering College, India. His research interests include Computer Vision, AI/ML, Cloud Computing, Big Data and Security.

Privacy and Security Issues in Big Data

Privacy and Security Issues in Big Data Book
Author : Pradip Kumar Das,Hrudaya Kumar Tripathy,Shafiz Affendi Mohd Yusof
Publisher : Springer Nature
Release : 2021-04-23
ISBN : 981161007X
Language : En, Es, Fr & De

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Book Description :

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 of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.

Big Data Analysis for Green Computing

Big Data Analysis for Green Computing Book
Author : Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Publisher : CRC Press
Release : 2021-10-29
ISBN : 1000481778
Language : En, Es, Fr & De

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Book Description :

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 presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities. The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.

Handbook on Digital Business Ecosystems

Handbook on Digital Business Ecosystems Book
Author : Baumann, Sabine
Publisher : Edward Elgar Publishing
Release : 2022-04-22
ISBN : 1839107197
Language : En, Es, Fr & De

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Book Description :

This timely Handbook on Digital Business Ecosystems provides a comprehensive overview of current research and industrial applications as well as suggestions for future developments. Multi-disciplinary in scope, the Handbook includes rigorously researched contributions from over 80 global expert authors from a variety of areas including administration and management, economics, computer science, industrial engineering, and media and communication.

Augmented Intelligence in Healthcare A Pragmatic and Integrated Analysis

Augmented Intelligence in Healthcare  A Pragmatic and Integrated Analysis Book
Author : Sushruta Mishra
Publisher : Springer Nature
Release : 2022-07-05
ISBN : 9811910766
Language : En, Es, Fr & De

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Book Description :

Download Augmented Intelligence in Healthcare A Pragmatic and Integrated Analysis book written by Sushruta Mishra, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Smart Healthcare Analytics State of the Art

Smart Healthcare Analytics  State of the Art Book
Author : Prasant Kumar Pattnaik
Publisher : Springer Nature
Release : 2022-07-05
ISBN : 9811653046
Language : En, Es, Fr & De

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Book Description :

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 systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

Proceedings of International Conference on Sustainable Expert Systems

Proceedings of International Conference on Sustainable Expert Systems Book
Author : Subarna Shakya,Valentina Emilia Balas,Wang Haoxiang,Zubair Baig
Publisher : Springer Nature
Release : 2021-03-30
ISBN : 9813343559
Language : En, Es, Fr & De

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Book Description :

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 impact on the intelligent systems research. Moreover, the sustainability technologies can be effectively used in the progressive deployment of various network-enabled technologies like intelligent sensors, smart cities, wearable technologies, robotics, web applications and other such Internet technologies. The thrust of this book is to publish the state-of-the-art research articles that deals with the design, development, implementation and testing of the intelligent expert systems and also to provide an overview of the sustainable management of these systems.

Computational Intelligence and Data Sciences

Computational Intelligence and Data Sciences Book
Author : Taylor & Francis Group
Publisher : CRC Press
Release : 2022-02-23
ISBN : 9781032123134
Language : En, Es, Fr & De

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Book Description :

This book presents futuristic trends in computational intelligence including algorithms used in different application domains in health informatics covering bio-medical, bioinformatics, &biological sciences. It provides conceptual framework with a focus on computational intelligence techniques in biomedical engineering &health informatics.

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

Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis Book
Author : Subhendu Kumar Pani
Publisher : Springer Nature
Release : 2022-07-05
ISBN : 3030797538
Language : En, Es, Fr & De

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Book Description :

Download Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis book written by Subhendu Kumar Pani, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Connected e Health

Connected e Health Book
Author : Sushruta Mishra
Publisher : Springer Nature
Release : 2022-07-05
ISBN : 3030979296
Language : En, Es, Fr & De

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Book Description :

Download Connected e Health book written by Sushruta Mishra, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Intelligence and the Fourth Industrial Revolution

Artificial Intelligence and the Fourth Industrial Revolution Book
Author : Utpal Chakraborty,Amit Banerjee,Jayanta Kumar Saha,Niloy Sarkar,Chinmay Chakraborty
Publisher : CRC Press
Release : 2022-05-26
ISBN : 1000367886
Language : En, Es, Fr & De

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Book Description :

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 in their respective fields and from industry and academia, focus on a gesture-recognition prototype for specially abled people; jurisprudential approach to AI and legal reasoning; automated chatbot for autism spectrum disorder using AI assistance; Big Data analytics and Internet of Things (IoT); role of AI in advancement of drug discovery; development, opportunities, and challenges of the Fourth Industrial Revolution; legal, ethical, and policy implications of AI; Internet of Health Things for smart healthcare and digital wellbeing; machine learning and computer vision; computer vision-based system for automation and industrial applications; AI-IoT in home-based healthcare; and AI in super-precision human brain and spine surgery. Buttressed with comprehensive theoretical, methodological, well-established, and validated empirical examples, the book covers the interests of a broad audience from basic science to engineering and technology experts and learners. It will be greatly helpful for CEOs, entrepreneurs, academic leaders, researchers, and students of engineering, biomedicine, and master’s programs in science as well as the vast workforce and students with technical or non-technical backgrounds. It also serves common public interest by presenting new methods to improve the quality of life in general, with a better integration into society.

Multimodal Biometric Systems

Multimodal Biometric Systems Book
Author : Rashmi Gupta,Manju Khari
Publisher : CRC Press
Release : 2021-09-26
ISBN : 1000453774
Language : En, Es, Fr & De

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Book Description :

Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput. This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding. This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.