Green Computing And Predictive Analytics For Healthcare

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Green Computing and Predictive Analytics for Healthcare

Sourav Banerjee,Chinmay Chakraborty,Kousik Dasgupta
Green Computing and Predictive Analytics for Healthcare Book PDF

Author : Sourav Banerjee,Chinmay Chakraborty,Kousik Dasgupta
Publisher : CRC Press
Page : 205 pages
File Size : 45,9 Mb
Release : 2020-12-10
Category : Computers
ISBN : 9781000223941

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Green Computing and Predictive Analytics for Healthcare by Sourav Banerjee,Chinmay Chakraborty,Kousik Dasgupta Pdf

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.

Big Data Analysis for Green Computing

Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Big Data Analysis for Green Computing Book PDF

Author : Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Publisher : CRC Press
Page : 186 pages
File Size : 43,8 Mb
Release : 2021-10-29
Category : Computers
ISBN : 9781000481778

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Big Data Analysis for Green Computing by Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham Pdf

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.

Making Healthcare Green

Nina S. Godbole,John P. Lamb
Making Healthcare Green Book PDF

Author : Nina S. Godbole,John P. Lamb
Publisher : Springer
Page : 263 pages
File Size : 44,7 Mb
Release : 2018-08-14
Category : Technology & Engineering
ISBN : 9783319790695

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Making Healthcare Green by Nina S. Godbole,John P. Lamb Pdf

This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve a hospital’s IT Energy Efficiency along with information on the best ways to improve energy efficiency for healthcare in a cost effective manner. The book builds on the work done in other sectors (mainly data centers) in effectively measuring and improving IT energy efficiency and includes case studies illustrating power and cooling requirements within Green Healthcare. Making Healthcare Green will appeal to professionals and researchers working in the areas of analytics and energy efficiency within the healthcare fields.

Big Data Analysis for Green Computing

Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Big Data Analysis for Green Computing Book PDF

Author : Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Publisher : CRC Press
Page : 175 pages
File Size : 52,7 Mb
Release : 2021-10-28
Category : Computers
ISBN : 9781000481785

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Big Data Analysis for Green Computing by Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham Pdf

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.

Machine Learning and Analytics in Healthcare Systems

Himani Bansal,Balamurugan Balusamy,T. Poongodi,Firoz Khan KP
Machine Learning and Analytics in Healthcare Systems Book PDF

Author : Himani Bansal,Balamurugan Balusamy,T. Poongodi,Firoz Khan KP
Publisher : CRC Press
Page : 275 pages
File Size : 43,6 Mb
Release : 2021-06-30
Category : Technology & Engineering
ISBN : 9781000406191

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Machine Learning and Analytics in Healthcare Systems by Himani Bansal,Balamurugan Balusamy,T. Poongodi,Firoz Khan KP Pdf

Bridges the gap between engineering and medicine in combining the design and problem solving skills of engineering with health sciences Explores real-world case studies in machine learning and healthcare analytics Presents a detailed exploration of applications of machine learning in healthcare systems Provides readers with how the industry avoids some of the consequences of old methods of data sharing strategies Offers readers multiple perspectives on a variety of disciplines

Analytics in Healthcare

Christo El Morr,Hossam Ali-Hassan
Analytics in Healthcare Book PDF

Author : Christo El Morr,Hossam Ali-Hassan
Publisher : Springer
Page : 105 pages
File Size : 55,7 Mb
Release : 2019-01-21
Category : Medical
ISBN : 9783030045067

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Analytics in Healthcare by Christo El Morr,Hossam Ali-Hassan Pdf

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.

Healthcare Data Analytics

Chandan K. Reddy,Charu C. Aggarwal
Healthcare Data Analytics Book PDF

Author : Chandan K. Reddy,Charu C. Aggarwal
Publisher : CRC Press
Page : 756 pages
File Size : 53,5 Mb
Release : 2015-06-23
Category : Business & Economics
ISBN : 9781482232127

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Healthcare Data Analytics by Chandan K. Reddy,Charu C. Aggarwal Pdf

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available

Intelligent Internet of Things for Healthcare and Industry

Uttam Ghosh,Chinmay Chakraborty,Lalit Garg,Gautam Srivastava
Intelligent Internet of Things for Healthcare and Industry Book PDF

Author : Uttam Ghosh,Chinmay Chakraborty,Lalit Garg,Gautam Srivastava
Publisher : Springer Nature
Page : 388 pages
File Size : 53,9 Mb
Release : 2022
Category : Application software
ISBN : 9783030814731

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Intelligent Internet of Things for Healthcare and Industry by Uttam Ghosh,Chinmay Chakraborty,Lalit Garg,Gautam Srivastava Pdf

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

Green Technological Innovation for Sustainable Smart Societies

Chinmay Chakraborty
Green Technological Innovation for Sustainable Smart Societies Book PDF

Author : Chinmay Chakraborty
Publisher : Springer Nature
Page : 419 pages
File Size : 43,5 Mb
Release : 2021-09-13
Category : Technology & Engineering
ISBN : 9783030732950

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Green Technological Innovation for Sustainable Smart Societies by Chinmay Chakraborty Pdf

This book discusses the innovative and efficient technological solutions for sustainable smart societies in terms of alteration in industrial pollution levels, the effect of reduced carbon emissions, green power management, ecology, and biodiversity, the impact of minimal noise levels and air quality influences on human health. The book is focused on the smart society development using innovative low-cost advanced technology in different areas where the growth in employment and income are driven by public and private investment into such economic activities, infrastructure and assets that allow reduced carbon emissions and pollution, enhanced energy, and resource efficiency and prevention of the loss of biodiversity and ecosystem services. The book also covers the paradigm shift in the sustainable development for the green environment in the post-pandemic era. It emphasizes and facilitates a greater understanding of existing available research i.e., theoretical, methodological, well-established and validated empirical work, associated with the environmental and climate change aspects.

Green Mobile Cloud Computing

Debashis De,Anwesha Mukherjee,Rajkumar Buyya
Green Mobile Cloud Computing Book PDF

Author : Debashis De,Anwesha Mukherjee,Rajkumar Buyya
Publisher : Springer Nature
Page : 316 pages
File Size : 50,9 Mb
Release : 2022-10-06
Category : Computers
ISBN : 9783031080388

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Green Mobile Cloud Computing by Debashis De,Anwesha Mukherjee,Rajkumar Buyya Pdf

The primary purpose of this book is to present the state-of-the-art of mobile cloud computing and applications with an emphasis on energy-efficiency. The future research directions are also highlighted in this book to enrich the global market-place of mobile cloud computing services facilitating the scientific, industrial, business, and consumer applications. We expect that the book will serve as a reference to a large number of readers including researchers, system architects, practitioners, and graduate-level students. This book focuses on an emerging area that has considerable research interest, momentum, and interest of commercial developers. The target reader of this book are professional developers, under-graduate and post-graduate students, and researchers. As mobile cloud computing, as well as green computing, will have a major impact on the quality of science and society over the next few years, its knowledge will enrich our readers to be at the forefront of the field. This book reports the latest research advances in the area of green mobile cloud computing. The book covers the architecture, services, methods, applications, and future research directions of green mobile cloud computing.

Big Data Analytics and Intelligence

Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Big Data Analytics and Intelligence Book PDF

Author : Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Publisher : Emerald Group Publishing
Page : 252 pages
File Size : 40,9 Mb
Release : 2020-09-30
Category : Business & Economics
ISBN : 9781839091018

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Big Data Analytics and Intelligence by Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal Pdf

Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Handbook of Research on Pattern Engineering System Development for Big Data Analytics

Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra
Handbook of Research on Pattern Engineering System Development for Big Data Analytics Book PDF

Author : Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra
Publisher : IGI Global
Page : 396 pages
File Size : 44,5 Mb
Release : 2018-04-20
Category : Computers
ISBN : 9781522538714

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Handbook of Research on Pattern Engineering System Development for Big Data Analytics by Tiwari, Vivek,Thakur, Ramjeevan Singh,Tiwari, Basant,Gupta, Shailendra Pdf

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.

Big Data Analytics for Intelligent Healthcare Management

Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
Big Data Analytics for Intelligent Healthcare Management Book PDF

Author : Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
Publisher : Academic Press
Page : 312 pages
File Size : 42,7 Mb
Release : 2019-04-15
Category : Science
ISBN : 9780128181478

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Big Data Analytics for Intelligent Healthcare Management by Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera Pdf

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more

IoT-Based Data Analytics for the Healthcare Industry

Sanjay Kumar Singh,Ravi Shankar Singh,Anil Kumar Pandey,Sandeep S Udmale,Ankit Chaudhary
IoT Based Data Analytics for the Healthcare Industry Book PDF

Author : Sanjay Kumar Singh,Ravi Shankar Singh,Anil Kumar Pandey,Sandeep S Udmale,Ankit Chaudhary
Publisher : Academic Press
Page : 342 pages
File Size : 46,6 Mb
Release : 2020-11-07
Category : Technology & Engineering
ISBN : 9780128214763

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IoT-Based Data Analytics for the Healthcare Industry by Sanjay Kumar Singh,Ravi Shankar Singh,Anil Kumar Pandey,Sandeep S Udmale,Ankit Chaudhary Pdf

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Provides state-of-art methods and current trends in data analytics for the healthcare industry Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques Discusses several potential AI techniques developed using IoT for the healthcare industry Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages

Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Data Analytics in Medicine Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2071 pages
File Size : 45,7 Mb
Release : 2019-12-06
Category : Medical
ISBN : 9781799812050

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Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.