Handbook Of Research On Artificial Intelligence And Soft Computing Techniques In Personalized Healthcare Services

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Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services

Author : Uma N. Dulhare
Publisher : CRC Press
ISBN 13 : 1000844277
Total Pages : 493 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services by : Uma N. Dulhare

Download or read book Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services written by Uma N. Dulhare and published by CRC Press. This book was released on 2024-01-02 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume demonstrates the diverse state-of-the-art applications that combine artificial intelligence with soft computing, which has great potential for creating smart personalized healthcare services. The book showcases the myriad uses of AI and computer techniques in healthcare that employ deep learning, robotics, machine learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms (GA), DurBhashan, and many more. These technologies can be used in healthcare for enhanced data sharing, remote health monitoring, tele-rehabilitation, connecting rural populations with healthcare services, identifying diseases and health issues, automated medical diagnosis, analyzing information in surgical videos, ensuring timely communication and transportation during health disasters and emergencies, for optimizing expenditures, and more.

Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services

Author : Uma N. Dulhare
Publisher :
ISBN 13 : 9781774913383
Total Pages : 0 pages
Book Rating : 4.9/5 (133 download)

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Book Synopsis Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services by : Uma N. Dulhare

Advancement of Artificial Intelligence in Healthcare Engineering

Author : Dilip Singh Sisodia
Publisher : Medical Information Science Reference
ISBN 13 : 9781799821205
Total Pages : 300 pages
Book Rating : 4.8/5 (212 download)

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Book Synopsis Advancement of Artificial Intelligence in Healthcare Engineering by : Dilip Singh Sisodia

Download or read book Advancement of Artificial Intelligence in Healthcare Engineering written by Dilip Singh Sisodia and published by Medical Information Science Reference. This book was released on 2020 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of challenging healthcare engineering solutions"--

Deep Learning for Personalized Healthcare Services

Author : Vishal Jain
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110708124
Total Pages : 268 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Deep Learning for Personalized Healthcare Services by : Vishal Jain

Download or read book Deep Learning for Personalized Healthcare Services written by Vishal Jain and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-25 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.

Tele-Healthcare

Author : R. Nidhya
Publisher : John Wiley & Sons
ISBN 13 : 1119841917
Total Pages : 271 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Tele-Healthcare by : R. Nidhya

Download or read book Tele-Healthcare written by R. Nidhya and published by John Wiley & Sons. This book was released on 2022-07-06 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: TELE-HEALTHCARE This book elucidates all aspects of tele-healthcare which is the application of AI, soft computing, digital information, and communication technologies, to provide services remotely and manage one’s healthcare. Throughout the world, there are huge developing crises with respect to healthcare workforce shortages, as well as a growing burden of chronic diseases. As a result, e-health has become one of the fastest-growing service areas in the medical sector. E-health supports and ensures the availability of proper healthcare, public health, and health education services at a distance and in remote places. For the sector to grow and meet the need of the marketplace, e-health applications have become one of the fastest growing areas of research. However, to grow at a larger scale requires the following: The availability of user cases for the exact identification of problems that need to be visualized. A well-supported market that can promote and adopt the e-health care concept. Development of cost-effectiveness applications and technologies for successful implementation of e-health at a larger scale. This book mainly focuses on these three points for the development and implementation of e-health services globally. In this book the reader will find: Details of the challenges in promoting and implementing the telehealth industry. How to expand a globalized agenda of personalized telehealth in integrative medical treatment for disease diagnosis and its industrial transformation. How to design machine learning techniques for improving the tele-healthcare system. Audience Researchers and post-graduate students in biomedical engineering, artificial intelligence, and information technology; medical doctors and practitioners and industry experts in the healthcare sector; healthcare sector network administrators.

The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity

Author : M. A. Jabbar
Publisher : CRC Press
ISBN 13 : 1000925447
Total Pages : 269 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity by : M. A. Jabbar

Download or read book The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity written by M. A. Jabbar and published by CRC Press. This book was released on 2024-06-28 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the ever-increasing threat of cyber-attacks, especially as the COVID-19 pandemic helped to ramp up the use of digital communications technology, there is a continued need to find new ways to maintain and improve cybersecurity. This new volume investigates the advances in artificial intelligence and soft computing techniques in cybersecurity. It specifically looks at cybersecurity during the COVID-19 pandemic, the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, and cybersecurity for cyber-physical systems. A diverse array of technologies and techniques are explored for cybersecurity applications, such as the Internet of Things, edge computing, cloud computing, artificial intelligence, soft computing, machine learning, cross-site scripting in web-based services, neural gas (GNG) clustering technique, and more.

Artificial Intelligence for the Internet of Health Things

Author : K. Shankar
Publisher : CRC Press
ISBN 13 : 1000374335
Total Pages : 225 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence for the Internet of Health Things by : K. Shankar

Download or read book Artificial Intelligence for the Internet of Health Things written by K. Shankar and published by CRC Press. This book was released on 2021-05-10 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Cognitive Intelligence and Big Data in Healthcare

Author : D. Sumathi
Publisher : John Wiley & Sons
ISBN 13 : 1119771978
Total Pages : 420 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Cognitive Intelligence and Big Data in Healthcare by : D. Sumathi

Download or read book Cognitive Intelligence and Big Data in Healthcare written by D. Sumathi and published by John Wiley & Sons. This book was released on 2022-08-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: COGNITIVE INTELLIGENCE AND BIG DATA IN HEALTHCARE Applications of cognitive intelligence, advanced communication, and computational methods can drive healthcare research and enhance existing traditional methods in disease detection and management and prevention. As health is the foremost factor affecting the quality of human life, it is necessary to understand how the human body is functioning by processing health data obtained from various sources more quickly. Since an enormous amount of data is generated during data processing, a cognitive computing system could be applied to respond to queries, thereby assisting in customizing intelligent recommendations. This decision-making process could be improved by the deployment of cognitive computing techniques in healthcare, allowing for cutting-edge techniques to be integrated into healthcare to provide intelligent services in various healthcare applications. This book tackles all these issues and provides insight into these diversified topics in the healthcare sector and shows the range of recent innovative research, in addition to shedding light on future directions in this area. Audience The book will be very useful to a wide range of specialists including researchers, engineers, and postgraduate students in artificial intelligence, bioinformatics, information technology, as well as those in biomedicine.

Deep Learning in Personalized Healthcare and Decision Support

Author : Harish Garg
Publisher : Elsevier
ISBN 13 : 0443194149
Total Pages : 402 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Deep Learning in Personalized Healthcare and Decision Support by : Harish Garg

Download or read book Deep Learning in Personalized Healthcare and Decision Support written by Harish Garg and published by Elsevier. This book was released on 2023-07-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

Author : Dr. Akash Kumar Bhoi
Publisher : Elsevier
ISBN 13 : 0323857515
Total Pages : 294 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data by : Dr. Akash Kumar Bhoi

Download or read book Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data written by Dr. Akash Kumar Bhoi and published by Elsevier. This book was released on 2022-01-24 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. Focuses on data-centric operations in the Healthcare industry Provides the latest trends in healthcare data analytics and practical implementation outcomes of the proposed models Addresses real-time challenges and case studies in the Healthcare industry

Nutrition Controversies and Advances in Autoimmune Disease

Author : Patnaik, Srikanta
Publisher : IGI Global
ISBN 13 :
Total Pages : 851 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Nutrition Controversies and Advances in Autoimmune Disease by : Patnaik, Srikanta

Download or read book Nutrition Controversies and Advances in Autoimmune Disease written by Patnaik, Srikanta and published by IGI Global. This book was released on 2024-08-09 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the complex interplay between food safety, nutrition, bioscience, and data algorithms is crucial for effectively managing autoimmune diseases. However, the current literature often needs a comprehensive resource that integrates these disciplines, leaving researchers, clinicians, and industry professionals needing a clearer understanding of how to apply these concepts in practice. This gap in knowledge hinders the development of personalized nutrition plans and precision health interventions, ultimately limiting the effectiveness of autoimmune disease management strategies. Nutrition Controversies and Advances in Autoimmune Disease brings to the table more than a mere theoretical guide. It offers practical applications and case studies that bring to life the latest research and developments in the fields of food safety, nutrition, bioscience, and data algorithms. By integrating these disciplines, the book provides readers with the knowledge and tools to develop personalized nutrition plans and implement precision health interventions for autoimmune diseases, making it a valuable resource for anyone in the field.

Artificial Intelligence and Machine Learning in Healthcare

Author : Ankur Saxena
Publisher : Springer Nature
ISBN 13 : 9811608113
Total Pages : 228 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Healthcare by : Ankur Saxena

Download or read book Artificial Intelligence and Machine Learning in Healthcare written by Ankur Saxena and published by Springer Nature. This book was released on 2021-05-06 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.

Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications

Author : Nguyen Hoang Phuong
Publisher : Springer Nature
ISBN 13 : 3031639294
Total Pages : 254 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications by : Nguyen Hoang Phuong

Download or read book Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications written by Nguyen Hoang Phuong and published by Springer Nature. This book was released on with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Deep Learning and Big IoT on Personalized Healthcare Services

Author : Wason, Ritika
Publisher : IGI Global
ISBN 13 : 1799821021
Total Pages : 248 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Deep Learning and Big IoT on Personalized Healthcare Services by : Wason, Ritika

Download or read book Applications of Deep Learning and Big IoT on Personalized Healthcare Services written by Wason, Ritika and published by IGI Global. This book was released on 2020-02-07 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing

Author : Arun Kumar Rana
Publisher : CRC Press
ISBN 13 : 1040051707
Total Pages : 271 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing by : Arun Kumar Rana

Download or read book Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing written by Arun Kumar Rana and published by CRC Press. This book was released on 2024-11-22 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Artificial intelligence and machine learning in medicine and healthcare Intelligent decision-making and analysis technology Machine learning and deep learning for agriculture Artificial intelligence and machine learning for security solutions Automation in image processing Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.

Incorporating AI Technology in the Service Sector

Author : Maria Jose Sousa
Publisher : CRC Press
ISBN 13 : 1000853438
Total Pages : 335 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Incorporating AI Technology in the Service Sector by : Maria Jose Sousa

Download or read book Incorporating AI Technology in the Service Sector written by Maria Jose Sousa and published by CRC Press. This book was released on 2024-03-12 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes and services. This volume examines in depth how AI innovation is creating knowledge, improving efficiency, and elevating quality of life for millions of people and how it applies to the service industry. This volume addresses advances, issues, and challenges from several points of view from diverse service areas, including healthcare, mental health, finance, management, learning and education, and others. The authors demonstrate how service practices can incorporate the subareas of AI, such as machine learning, deep learning, blockchain, big data, neural networks, etc. The diverse roster of chapter authors includes 48 scholars from different fields, (management, public policies, accounting, information technologies, engineering, medicine) along with executives and managers of private enterprises and public bodies in different sectors, from life sciences to healthcare. Several chapters also evaluate AI’s application in service industries during the COVID-19 era. This book, Incorporating AI Technology in the Service Sector: Innovations in Creating Knowledge, Improving Efficiency, and Elevating Quality of Life, provides professionals, administrators, educators, researchers, and students with useful perspectives by introducing new approaches and innovations for identifying future strategies for service sector companies.

Shaping the Future of Automation With Cloud-Enhanced Robotics

Author : Gatti, Rathishchandra Ramachandra
Publisher : IGI Global
ISBN 13 :
Total Pages : 457 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Shaping the Future of Automation With Cloud-Enhanced Robotics by : Gatti, Rathishchandra Ramachandra

Download or read book Shaping the Future of Automation With Cloud-Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and published by IGI Global. This book was released on 2024-04-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.