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,A. V. Senthil Kumar,Amit Dutta,Seddik Bri,Ibrahiem M. M. El Emary
Publisher : CRC Press
Page : 493 pages
File Size : 51,6 Mb
Release : 2024-01-02
Category : Technology & Engineering
ISBN : 9781000844276

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Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services by Uma N. Dulhare,A. V. Senthil Kumar,Amit Dutta,Seddik Bri,Ibrahiem M. M. El Emary Pdf

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,A. V. Senthil Kumar,Amit Dutta,Seddik Bri,Ibrahiem M. M. El Emary
Publisher : Unknown
Page : 0 pages
File Size : 53,6 Mb
Release : 2024
Category : Electronic
ISBN : 1774913380

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Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services by Uma N. Dulhare,A. V. Senthil Kumar,Amit Dutta,Seddik Bri,Ibrahiem M. M. El Emary Pdf

Presents new applications, techniques, and algorithms in AI and soft computing for intelligent, such as deep learning, robotics, machine learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms, and more.

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering

Author : Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Publisher : IGI Global
Page : 420 pages
File Size : 54,8 Mb
Release : 2020-02-28
Category : Medical
ISBN : 9781799821229

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Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering by Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit Pdf

Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

Tele-Healthcare

Author : R. Nidhya,Manish Kumar,S. Balamurugan
Publisher : John Wiley & Sons
Page : 271 pages
File Size : 51,9 Mb
Release : 2022-07-06
Category : Computers
ISBN : 9781119841913

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Tele-Healthcare by R. Nidhya,Manish Kumar,S. Balamurugan Pdf

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.

Deep Learning for Personalized Healthcare Services

Author : Vishal Jain,Jyotir Moy Chatterjee,Hadi Hedayati,Salahddine Krit,Omer Deperlioglu
Publisher : Walter de Gruyter GmbH & Co KG
Page : 268 pages
File Size : 52,5 Mb
Release : 2021-10-25
Category : Computers
ISBN : 9783110708127

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Deep Learning for Personalized Healthcare Services by Vishal Jain,Jyotir Moy Chatterjee,Hadi Hedayati,Salahddine Krit,Omer Deperlioglu Pdf

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.

Deep Learning in Personalized Healthcare and Decision Support

Author : Harish Garg,Jyotir Moy Chatterjee
Publisher : Elsevier
Page : 402 pages
File Size : 53,5 Mb
Release : 2023-07-20
Category : Computers
ISBN : 9780443194146

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Deep Learning in Personalized Healthcare and Decision Support by Harish Garg,Jyotir Moy Chatterjee Pdf

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

The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity

Author : M. A. Jabbar,Sanju Tiwari,Subhendu Kumar Pani,Stephen Huang
Publisher : CRC Press
Page : 269 pages
File Size : 42,8 Mb
Release : 2024-06-28
Category : Computers
ISBN : 9781000925449

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The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity by M. A. Jabbar,Sanju Tiwari,Subhendu Kumar Pani,Stephen Huang Pdf

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.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

Author : Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Parvathaneni Naga Srinivasu,Goncalo Marques
Publisher : Academic Press
Page : 296 pages
File Size : 48,6 Mb
Release : 2022-01-22
Category : Computers
ISBN : 9780323903486

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Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data by Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Parvathaneni Naga Srinivasu,Goncalo Marques Pdf

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

Cognitive Intelligence and Big Data in Healthcare

Author : D. Sumathi,T. Poongodi,B. Balamurugan,Lakshmana Kumar Ramasamy
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 54,5 Mb
Release : 2022-08-23
Category : Computers
ISBN : 9781119771975

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Cognitive Intelligence and Big Data in Healthcare by D. Sumathi,T. Poongodi,B. Balamurugan,Lakshmana Kumar Ramasamy Pdf

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.

Artificial Intelligence for the Internet of Health Things

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 225 pages
File Size : 55,9 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374339

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Artificial Intelligence for the Internet of Health Things by K. Shankar,Eswaran Perumal,Deepak Gupta Pdf

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.

Handbook of Research on Mathematical Modeling for Smart Healthcare Systems

Author : Samanta, Debabrata,Singh, Debabrata
Publisher : IGI Global
Page : 503 pages
File Size : 42,7 Mb
Release : 2022-06-24
Category : Computers
ISBN : 9781668445822

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Handbook of Research on Mathematical Modeling for Smart Healthcare Systems by Samanta, Debabrata,Singh, Debabrata Pdf

Advances in healthcare technologies have offered real-time guidance and technical assistance for diagnosis, monitoring, operation, and interventions. The development of artificial intelligence, machine learning, internet of things technology, and smart computing techniques are crucial in today’s healthcare environment as they provide frictionless and transparent financial transactions and improve the overall healthcare experience. This, in turn, has far-reaching effects on economic, psychological, educational, and organizational improvements in the way we work, teach, learn, and provide care. These advances must be studied further in order to ensure they are adapted and utilized appropriately. The Handbook of Research on Mathematical Modeling for Smart Healthcare Systems presents the latest research findings, ideas, innovations, developments, and applications in the field of modeling for healthcare systems. Furthermore, it presents the application of innovative techniques to complex problems in the case of healthcare. Covering a range of topics such as artificial intelligence, deep learning, and personalized healthcare services, this reference work is crucial for engineers, healthcare professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Applications of Deep Learning and Big IoT on Personalized Healthcare Services

Author : Wason, Ritika,Goyal, Dinesh,Jain, Vishal,Balamurugan, S.,Baliyan, Anupam
Publisher : IGI Global
Page : 248 pages
File Size : 48,6 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.

Edge-of-Things in Personalized Healthcare Support Systems

Author : Rajeswari Sridhar,G. R. Gangadharan,Michael Sheng,Rajan Shankaran
Publisher : Academic Press
Page : 437 pages
File Size : 52,5 Mb
Release : 2022-06-19
Category : Computers
ISBN : 9780323907088

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Edge-of-Things in Personalized Healthcare Support Systems by Rajeswari Sridhar,G. R. Gangadharan,Michael Sheng,Rajan Shankaran Pdf

Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics. Provides an in-depth analysis of how to model and design applications for state-of-the-art healthcare systems Discusses and explores the social impact of the intertwined use of emerging IT technologies for healthcare Covers system design and software building principles for healthcare using IoT, cloud, and edge computing technologies with the support of effective and efficient data analytics strategies Explores the latest algorithms using machine and deep learning in the areas of cloud, edge computing, IoT, and healthcare analytics

Advancements in Artificial Intelligence, Blockchain Technology, and IoT in Higher Education

Author : Subhendu Kumar Pani,Kamalakanta Muduli,Sujoy Kumar Jana,Srikanth Bathula,Golam Sarwar Khan
Publisher : CRC Press
Page : 279 pages
File Size : 55,8 Mb
Release : 2023-06-23
Category : Education
ISBN : 9781000608809

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Advancements in Artificial Intelligence, Blockchain Technology, and IoT in Higher Education by Subhendu Kumar Pani,Kamalakanta Muduli,Sujoy Kumar Jana,Srikanth Bathula,Golam Sarwar Khan Pdf

With a need to find alternatives to the traditional face-to-face teaching and learning during the pandemic, this topical volume discusses the best use of technologies in higher education, addressing the growing role of AI in the digital transformation of higher education systems. With chapters from eminent professors, researchers, and others involved in higher education from a selection of different countries, the volume looks at blockchain and IoT technologies to create smart universities now and for the future.

Incorporating AI Technology in the Service Sector

Author : Maria Jose Sousa,Subhendu Pani,Francesca dal Mas,Sérgio Sousa
Publisher : CRC Press
Page : 335 pages
File Size : 48,8 Mb
Release : 2024-03-12
Category : Business & Economics
ISBN : 9781000853438

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Incorporating AI Technology in the Service Sector by Maria Jose Sousa,Subhendu Pani,Francesca dal Mas,Sérgio Sousa Pdf

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.