Data Fusion Techniques And Applications For Smart Healthcare

Author : Amit Kumar Singh,Stefano Berretti
Publisher : Elsevier
Page : 444 pages
File Size : 49,7 Mb
Release : 2024-03-29
Category : Computers
ISBN : 9780443132346

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Data Fusion Techniques and Applications for Smart Healthcare by Amit Kumar Singh,Stefano Berretti Pdf

Medical data exists in several formats, from structured data and medical reports to 1D signals, 2D images, 3D volumes, or even higher dimensional data such as temporal 3D sequences. Healthcare experts can make auscultation reports in text format; electrocardiograms can be printed in time series format, x-rays saved as images; volume can be provided through angiography; temporal information by echocardiograms, and 4D information extracted through flow MRI. Another typical source of variability is the existence of data from different time points, such as pre and post treatment, for instance. These large and highly diverse amounts of information need to be organized and mined in an appropriate way so that meaningful information can be extracted. New multimodal data fusion techniques are able to combine salient information into one single source to ensure better diagnostic accuracy and assessment. Data Fusion Techniques and Applications for Smart Healthcare covers cutting-edge research from both academia and industry with a particular emphasis on recent advances in algorithms and applications that involve combining multiple sources of medical information. This book can be used as a reference for practicing engineers, scientists, and researchers. It will also be useful for graduate students and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art information fusion solutions for healthcare applications. Presents broad coverage of applied case studies using data fusion techniques to mine, organize, and interpret medical data Investigates how data fusion techniques offer a new solution for dealing with massive amounts of medical data coming from diverse sources and multiple formats Focuses on identifying challenges, solutions, and new directions that will be useful for graduate students, researchers, and practitioners from government, academia, industry, and healthcare

Author : Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke
Publisher : Springer Nature
Page : 398 pages
File Size : 51,7 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783030666330

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Efficient Data Handling for Massive Internet of Medical Things by Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke Pdf

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.

Author : Karthick, G.S.,Karupusamy, Sathishkumar
Publisher : IGI Global
Page : 549 pages
File Size : 54,9 Mb
Release : 2023-08-01
Category : Medical
ISBN : 9781668489147

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Contemporary Applications of Data Fusion for Advanced Healthcare Informatics by Karthick, G.S.,Karupusamy, Sathishkumar Pdf

Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to collect, monitor, control, optimize, model, and predict healthcare data using blockchain, AI, and IoT. The book also considers the advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. Covering key topics such as disruptive technology, electronic health records, and medical data, this premier reference source is ideal for computer scientists, nurses, doctors, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Author : Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol
Publisher : Springer Nature
Page : 228 pages
File Size : 49,9 Mb
Release : 2021-09-30
Category : Technology & Engineering
ISBN : 9789811653049

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Smart Healthcare Analytics: State of the Art by Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol Pdf

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.

Author : Suparna Biswas,Chandreyee Chowdhury,Biswaranjan Acharya,Chuan-Ming Liu
Publisher : Springer Nature
Page : 394 pages
File Size : 46,9 Mb
Release : 2022-07-18
Category : Computers
ISBN : 9789811914089

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Internet of Things Based Smart Healthcare by Suparna Biswas,Chandreyee Chowdhury,Biswaranjan Acharya,Chuan-Ming Liu Pdf

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

Author : Sonali Vyas,Deepshikha Bhargava
Publisher : Springer Nature
Page : 131 pages
File Size : 51,8 Mb
Release : 2021-08-24
Category : Medical
ISBN : 9789811642012

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Smart Health Systems by Sonali Vyas,Deepshikha Bhargava Pdf

The upcoming trends in healthcare are intended towards improving the overall quality of life. In the past,management of health issues were limited to clinics and hospitals and managing patient’s data and analyzing it. This procedure was difficult and time consuming. A great effort was also needed in diagnosing the cause and type of disease, but this all has changed now. As advancement in research and technologies, a positive impact on healthcare is seen. This book assesses the need and era of smart healthcare and delivers content relevant to current age and time. It describes the trend, usage and practicality of IWMDs i.e. Wearable Medical Device or Sensors (WMSs) and Implantable Medical Devices (IMDs) and how they enhance the awareness of daily healthcare.It establishes a relation and conjunction of daily healthcare monitoring with clinical healthcare. A healthcare system is called smart when there is an ability to make decisions, which comes from data analytics. Smart healthcare systems possess capability of data analytics and IoT based services which can be implemented on smart phones using cloud technology. This book discusses various research trends and technologies related to innovations and advancements for smart healthcare systems. It also elaborates challenges, scope upcoming techniques, devices and future directions for smart healthcare systems.The proposed book would in particular benefit researchers interested in interdisciplinary sciences, It would also be of value to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives.

Author : Carmela Comito,Agostino Forestiero,Ester Zumpano
Publisher : Springer Nature
Page : 188 pages
File Size : 50,7 Mb
Release : 2022-02-10
Category : Technology & Engineering
ISBN : 9783030911812

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Integrating Artificial Intelligence and IoT for Advanced Health Informatics by Carmela Comito,Agostino Forestiero,Ester Zumpano Pdf

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Author : Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
Publisher : CRC Press
Page : 237 pages
File Size : 45,8 Mb
Release : 2020-07-29
Category : Computers
ISBN : 9781000098303

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Big Data, IoT, and Machine Learning by Rashmi Agrawal,Marcin Paprzycki,Neha Gupta Pdf

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Author : Celestine Iwendi, Thippa Reddy Gadekallu,Ali Kashif Bashir
Publisher : Frontiers Media SA
Page : 1365 pages
File Size : 51,9 Mb
Release : 2023-04-17
Category : Medical
ISBN : 9782832515754

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Big data analytics for smart healthcare applications by Celestine Iwendi, Thippa Reddy Gadekallu,Ali Kashif Bashir Pdf

Author : Shreyas Suresh Rao, Steven Lawrence Fernandes, Chandra Singh, Rathishchandra R. Gatti, Harisha A., Rohanchandra R. Gatty
Publisher : Bentham Science Publishers
Page : 317 pages
File Size : 50,6 Mb
Release : 2023-12-26
Category : Computers
ISBN : 9789815196061

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AIoT and Big Data Analytics for Smart Healthcare Applications by Shreyas Suresh Rao, Steven Lawrence Fernandes, Chandra Singh, Rathishchandra R. Gatti, Harisha A., Rohanchandra R. Gatty Pdf

AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving. Key Features: Real-Life Illustrations: Real-world examples showcase AIoT and Big Data in action, highlighting their impact in healthcare. Comprehensive Exploration: The book offers a thorough examination of AIoT, Big Data, and their harmonious synergy within the healthcare landscape. Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible. Ethical Insights: Delving into the ethical dimensions of AIoT and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare. Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIoT and Big Data, making it a compass for healthcare transformation. Researchers, whether from academia, industry, or research and development organizations, interested in AIoT, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.

Author : Samee U. Khan,Albert Y. Zomaya,Assad Abbas
Publisher : Springer
Page : 635 pages
File Size : 49,7 Mb
Release : 2017-08-07
Category : Computers
ISBN : 9783319582801

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Handbook of Large-Scale Distributed Computing in Smart Healthcare by Samee U. Khan,Albert Y. Zomaya,Assad Abbas Pdf

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.

Author : Durgesh Srivastava,Neha Sharma,Deepak Sinwar,Jabar H. Yousif,Hari Prabhat Gupta
Publisher : CRC Press
Page : 269 pages
File Size : 54,5 Mb
Release : 2023-02-23
Category : Computers
ISBN : 9781000834970

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Intelligent Internet of Things for Smart Healthcare Systems by Durgesh Srivastava,Neha Sharma,Deepak Sinwar,Jabar H. Yousif,Hari Prabhat Gupta Pdf

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included. Features: •Introduces Intelligent IoT as applicable to the key areas of smart healthcare. •Discusses computational intelligence and IoT-based optimizations of smart healthcare systems •Explores effective management of healthcare systems using dedicated IoT-based infrastructures •Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

Author : Adwitiya Sinha,Megha Rathi
Publisher : CRC Press
Page : 234 pages
File Size : 40,8 Mb
Release : 2019-07-24
Category : Computers
ISBN : 9780429671777

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Smart Healthcare Systems by Adwitiya Sinha,Megha Rathi Pdf

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

Author : Wason, Ritika,Goyal, Dinesh,Jain, Vishal,Balamurugan, S.,Baliyan, Anupam
Publisher : IGI Global
Page : 248 pages
File Size : 40,7 Mb
Release : 2020-02-07
Category : Medical
ISBN : 9781799821021

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Applications of Deep Learning and Big IoT on Personalized Healthcare Services by Wason, Ritika,Goyal, Dinesh,Jain, Vishal,Balamurugan, S.,Baliyan, Anupam Pdf

Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.

Author : K. Murugeswari,B. Sundaravadivazhagan,S Poonkuntran,Thendral Puyalnithi
Publisher : CRC Press
Page : 309 pages
File Size : 47,8 Mb
Release : 2024-05-15
Category : Medical
ISBN : 9781040021378

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Deep Learning for Smart Healthcare by K. Murugeswari,B. Sundaravadivazhagan,S Poonkuntran,Thendral Puyalnithi Pdf

Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.