Nature Inspired Methods For Smart Healthcare Systems And Medical Data

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Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakare
Nature Inspired Methods for Smart Healthcare Systems and Medical Data Book PDF

Author : Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakare
Publisher : Springer Nature
Page : 265 pages
File Size : 53,8 Mb
Release : 2024-01-02
Category : Medical
ISBN : 9783031459528

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Nature-Inspired Methods for Smart Healthcare Systems and Medical Data by Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakare Pdf

This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors. The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions. Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristics offer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.

Nature-Inspired Intelligent Computing Techniques in Bioinformatics

Khalid Raza
Nature Inspired Intelligent Computing Techniques in Bioinformatics Book PDF

Author : Khalid Raza
Publisher : Springer Nature
Page : 340 pages
File Size : 43,8 Mb
Release : 2022-10-31
Category : Technology & Engineering
ISBN : 9789811963797

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Nature-Inspired Intelligent Computing Techniques in Bioinformatics by Khalid Raza Pdf

This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems Book PDF

Author : Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Publisher : IGI Global
Page : 381 pages
File Size : 48,7 Mb
Release : 2018-03-31
Category : Technology & Engineering
ISBN : 9781522547709

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Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems by Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer Pdf

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain

Chinmay Chakraborty,Subhendukumar Pani,Mohd Abdul Ahad,Qin Xin
Implementation of Smart Healthcare Systems using AI IoT and Blockchain Book PDF

Author : Chinmay Chakraborty,Subhendukumar Pani,Mohd Abdul Ahad,Qin Xin
Publisher : Academic Press
Page : 299 pages
File Size : 41,9 Mb
Release : 2022-09-27
Category : Technology & Engineering
ISBN : 9780323919364

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Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain by Chinmay Chakraborty,Subhendukumar Pani,Mohd Abdul Ahad,Qin Xin Pdf

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment Includes AI for predictive and preventive healthcare Describes blockchain for managing healthcare data to provide transparency, security and distributed storage Offers effective remote diagnostics and telemedicine approaches Highlights the importance of gold standard medical datasets for improved modeling and analysis

Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

Janmenjoy Nayak,Asit Kumar Das,Bighnaraj Naik,Saroj K. Meher,Sheryl Brahnam
Nature Inspired Optimization Methodologies in Biomedical and Healthcare Book PDF

Author : Janmenjoy Nayak,Asit Kumar Das,Bighnaraj Naik,Saroj K. Meher,Sheryl Brahnam
Publisher : Springer Nature
Page : 304 pages
File Size : 54,7 Mb
Release : 2022-11-14
Category : Technology & Engineering
ISBN : 9783031175442

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Nature-Inspired Optimization Methodologies in Biomedical and Healthcare by Janmenjoy Nayak,Asit Kumar Das,Bighnaraj Naik,Saroj K. Meher,Sheryl Brahnam Pdf

This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.

Artificial Intelligence in Healthcare

Adam Bohr,Kaveh Memarzadeh
Artificial Intelligence in Healthcare Book PDF

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 42,9 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Smart Health Systems

Sonali Vyas,Deepshikha Bhargava
Smart Health Systems Book PDF

Author : Sonali Vyas,Deepshikha Bhargava
Publisher : Springer Nature
Page : 131 pages
File Size : 42,9 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.

Intelligent Internet of Things for Smart Healthcare Systems

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

Author : Durgesh Srivastava,Neha Sharma,Deepak Sinwar,Jabar H. Yousif,Hari Prabhat Gupta
Publisher : CRC Press
Page : 269 pages
File Size : 54,8 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.

Smart Healthcare Analytics: State of the Art

Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol
Smart Healthcare Analytics State of the Art Book PDF

Author : Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol
Publisher : Springer Nature
Page : 228 pages
File Size : 46,8 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.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Artificial Intelligence and Big Data Analytics for Smart Healthcare Book PDF

Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publisher : Academic Press
Page : 292 pages
File Size : 54,5 Mb
Release : 2021-10-22
Category : Medical
ISBN : 9780128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare by Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui Pdf

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Digital Health Transformation with Blockchain and Artificial Intelligence

Chinmay Chakraborty
Digital Health Transformation with Blockchain and Artificial Intelligence Book PDF

Author : Chinmay Chakraborty
Publisher : CRC Press
Page : 370 pages
File Size : 50,8 Mb
Release : 2022-05-10
Category : Computers
ISBN : 9781000580945

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Digital Health Transformation with Blockchain and Artificial Intelligence by Chinmay Chakraborty Pdf

The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Applications of Big Data in Healthcare

Ashish Khanna,Deepak Gupta,Nilanjan Dey
Applications of Big Data in Healthcare Book PDF

Author : Ashish Khanna,Deepak Gupta,Nilanjan Dey
Publisher : Academic Press
Page : 311 pages
File Size : 50,8 Mb
Release : 2021-03-10
Category : Science
ISBN : 9780128204511

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Applications of Big Data in Healthcare by Ashish Khanna,Deepak Gupta,Nilanjan Dey Pdf

Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in the healthcare sector is to come up with ways to provide personalized healthcare to patients by taking into account the enormous amounts of already existing data. Provides case studies that illustrate the business processes underlying the use of big data and deep learning health analytics to improve health care delivery Supplies readers with a foundation for further specialized study in clinical analysis and data management Includes links to websites, videos, articles and other online content to expand and support the primary learning objectives for each major section of the book

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem
Designing Intelligent Healthcare Systems Products and Services Using Disruptive Technologies and Health Informatics Book PDF

Author : Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem
Publisher : CRC Press
Page : 282 pages
File Size : 55,9 Mb
Release : 2022-08-08
Category : Technology & Engineering
ISBN : 9781000630510

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Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics by Teena Bagga,Kamal Upreti,Nishant Kumar,Amirul Hasan Ansari,Danish Nadeem Pdf

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Securing Next-Generation Connected Healthcare Systems

Deepak Gupta,Aboul Ella Hassanien
Securing Next Generation Connected Healthcare Systems Book PDF

Author : Deepak Gupta,Aboul Ella Hassanien
Publisher : Elsevier
Page : 254 pages
File Size : 53,9 Mb
Release : 2024-05-31
Category : Computers
ISBN : 9780443139529

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Securing Next-Generation Connected Healthcare Systems by Deepak Gupta,Aboul Ella Hassanien Pdf

Securing Next-Generation Connected Healthcare Systems focuses on the crucial aspects of IoT security in a connected environment, which will not only benefit from cutting-edge methodological approaches but also assist in the rapid scalability and improvement of these systems. This book shows how to utilize technologies like blockchain and its integration with IoT for communication, data security, and trust management. This book will introduce the security aspect of next generation technologies for healthcare, covering a wide range of security and computing methodologies. Researchers, data scientists, students, and professionals interested in the application of artificial intelligence in healthcare management, data security of connected healthcare systems and related fields, specifically on data intensive secured systems and computing environments will finds this to be a welcomed resource. Covers the latest next generation connected healthcare technologies using parallel computing Presents all the security aspects in next-generation technologies for healthcare Utilizes technologies such as blockchain and its integration with IoT for communication, data security, and trust management Discusses privacy and security issues and challenges in data intensive cloud computing environment Dives into the concept of parallel and distributed computing technologies and their applications in the real world

Intelligent Healthcare

Chinmay Chakraborty,Mohammad R. Khosravi
Intelligent Healthcare Book PDF

Author : Chinmay Chakraborty,Mohammad R. Khosravi
Publisher : Springer Nature
Page : 493 pages
File Size : 54,6 Mb
Release : 2022-06-02
Category : Medical
ISBN : 9789811681509

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Intelligent Healthcare by Chinmay Chakraborty,Mohammad R. Khosravi Pdf

The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.