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Intelligent Solutions for Cognitive Disorders

Author: Jadhav, Dipti

Publisher: IGI Global

Published: 2024-02-14

Total Pages: 431

ISBN-13:

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Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment. This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care.

Book Synopsis Intelligent Solutions for Cognitive Disorders by : Jadhav, Dipti

Download or read book Intelligent Solutions for Cognitive Disorders written by Jadhav, Dipti and published by IGI Global. This book was released on 2024-02-14 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment. This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care.

Focus on Cognitive Disorder Research

Author: William P. Briscoe

Publisher: Nova Publishers

Published: 2007

Total Pages: 264

ISBN-13: 9781600214820

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Cognitive disorders are defined as those in which a limitation of cognitive functioning is the main feature. They include: amnestic disorders, Huntington's disease, and mental retardation, dementia, delirium, aphasia, and cognitive disorders not otherwise specified. This book brings together leading researchers from throughout the world.

Book Synopsis Focus on Cognitive Disorder Research by : William P. Briscoe

Download or read book Focus on Cognitive Disorder Research written by William P. Briscoe and published by Nova Publishers. This book was released on 2007 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive disorders are defined as those in which a limitation of cognitive functioning is the main feature. They include: amnestic disorders, Huntington's disease, and mental retardation, dementia, delirium, aphasia, and cognitive disorders not otherwise specified. This book brings together leading researchers from throughout the world.

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies

Author: Gupta, Shweta

Publisher: IGI Global

Published: 2022-02-11

Total Pages: 309

ISBN-13: 179989536X

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As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

Book Synopsis Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies by : Gupta, Shweta

Download or read book Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies written by Gupta, Shweta and published by IGI Global. This book was released on 2022-02-11 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

Cognitive Disorders

Author: Humberto Foyaca Sibat

Publisher: BoD – Books on Demand

Published: 2019-01-16

Total Pages: 240

ISBN-13: 1789848806

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This book contains selected peer-reviewed chapters that cover novel information on cognitive disorders and updated information on dementias written by international researchers. In this project, we discuss the effect of metabolic disorders on the development of cognitive disorders in patients with type 1 diabetes mellitus. In another chapter, the authors highlight the usability of an assistive software application developed for patients with dementia. On the other hand, an extensive review of novel information on different types of dementia is made. This chapter covers the novel aspect of dementia without ignoring its foundation. Therefore, apart from classic issues that cannot be missed in any textbook about cognitive disorders, we introduce updated information on the commonest dementias. The current situation of the prisoner population with dementia in a correctional setting is analyzed in another chapter, and specific recommendations to improve the health outcomes for prisoners are delivered. In more than one chapter, our authors wrote about a copious microtubule-associated protein (tau) as a biological fluid biomarker and tauopathies leading to cognitive disorder and cancer. Finally, the role of the hypothalamus in Alzheimer's disease is discussed. We look forward with confidence and pride to the remarkable role that this book will play for a new vision and mission.

Book Synopsis Cognitive Disorders by : Humberto Foyaca Sibat

Download or read book Cognitive Disorders written by Humberto Foyaca Sibat and published by BoD – Books on Demand. This book was released on 2019-01-16 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected peer-reviewed chapters that cover novel information on cognitive disorders and updated information on dementias written by international researchers. In this project, we discuss the effect of metabolic disorders on the development of cognitive disorders in patients with type 1 diabetes mellitus. In another chapter, the authors highlight the usability of an assistive software application developed for patients with dementia. On the other hand, an extensive review of novel information on different types of dementia is made. This chapter covers the novel aspect of dementia without ignoring its foundation. Therefore, apart from classic issues that cannot be missed in any textbook about cognitive disorders, we introduce updated information on the commonest dementias. The current situation of the prisoner population with dementia in a correctional setting is analyzed in another chapter, and specific recommendations to improve the health outcomes for prisoners are delivered. In more than one chapter, our authors wrote about a copious microtubule-associated protein (tau) as a biological fluid biomarker and tauopathies leading to cognitive disorder and cancer. Finally, the role of the hypothalamus in Alzheimer's disease is discussed. We look forward with confidence and pride to the remarkable role that this book will play for a new vision and mission.

Cognitive Predictive Maintenance Tools for Brain Diseases

Author: Shweta Gupta

Publisher:

Published: 2024

Total Pages: 0

ISBN-13: 9781032156873

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"This book involves the design, analysis, and application of various Cognitive Predictive Maintenance Tests with help of tools like vibration analysis tools, Ultrasonic analysis tools, Infrared analysis tools, Oil analysis tools, Laser-shaft alignment tools, and Motor circuit analysis tools in the prediction of various Cognitive diseases like Epilepsy, Parkinson's Disease, Alzheimer's, depression, etc. which is need of the day since there are no proper medical tests available to predict the diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates Innovative processes for treating Cognitive Diseases. Early and exact Identification and treatment strategies are incorporated. Uses Future Technologies like Artificial Intelligence, Machine Learning, IoT, Data Science, etc. are used for solutions. Analysis with the existing Cognitive Diseases Solutions is incorporated and Simulations are provided. Novelty of the book lies in the Accurate Prediction of Cognitive diseases. Encompassing novel technologies like the Industrial Internet of Things, Artificial Intelligence, Machine Learning, Data Sciences, Big Data, and various communication protocols or devices available for cognitive diseases for the design of newly designed equipment would be an asset of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of the product. Can be added to the curriculum of Medical colleges and Biomedical Engineering students. Possible vendors can be Biomedical Research centers like Biotechnika, Indian Medical Research Association (ICMR). It would be a breakthrough for Biomedical Companies to launch the new product"--

Book Synopsis Cognitive Predictive Maintenance Tools for Brain Diseases by : Shweta Gupta

Download or read book Cognitive Predictive Maintenance Tools for Brain Diseases written by Shweta Gupta and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book involves the design, analysis, and application of various Cognitive Predictive Maintenance Tests with help of tools like vibration analysis tools, Ultrasonic analysis tools, Infrared analysis tools, Oil analysis tools, Laser-shaft alignment tools, and Motor circuit analysis tools in the prediction of various Cognitive diseases like Epilepsy, Parkinson's Disease, Alzheimer's, depression, etc. which is need of the day since there are no proper medical tests available to predict the diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates Innovative processes for treating Cognitive Diseases. Early and exact Identification and treatment strategies are incorporated. Uses Future Technologies like Artificial Intelligence, Machine Learning, IoT, Data Science, etc. are used for solutions. Analysis with the existing Cognitive Diseases Solutions is incorporated and Simulations are provided. Novelty of the book lies in the Accurate Prediction of Cognitive diseases. Encompassing novel technologies like the Industrial Internet of Things, Artificial Intelligence, Machine Learning, Data Sciences, Big Data, and various communication protocols or devices available for cognitive diseases for the design of newly designed equipment would be an asset of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of the product. Can be added to the curriculum of Medical colleges and Biomedical Engineering students. Possible vendors can be Biomedical Research centers like Biotechnika, Indian Medical Research Association (ICMR). It would be a breakthrough for Biomedical Companies to launch the new product"--

Reshaping Healthcare with Cutting-Edge Biomedical Advancements

Author: Prabhakar, Pranav Kumar

Publisher: IGI Global

Published: 2024-05-06

Total Pages: 504

ISBN-13:

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Despite remarkable advancements in biomedical research, the healthcare industry faces challenges in effectively translating these discoveries into tangible patient benefits. Healthcare professionals often need help to keep pace with the rapid evolution of medical knowledge, leading to variations in patient care and treatment outcomes. Policymakers and educators may need more insight to leverage recent biomedical developments in shaping effective health policies and educational curricula. Additionally, ethical considerations surrounding emerging technologies like gene editing and Artificial Intelligence (AI) in healthcare pose complex dilemmas that require careful navigation. Reshaping Healthcare with Cutting-Edge Biomedical Advancements offers a comprehensive solution to these challenges. By providing a detailed exploration of the latest breakthroughs in genomics, regenerative therapies, neurobiology, AI, and more, this book equips healthcare professionals with the knowledge needed to make informed decisions about patient care. It also guides policymakers and educators, offering insights into the implications of recent biomedical advancements for shaping health policies and educational programs.

Book Synopsis Reshaping Healthcare with Cutting-Edge Biomedical Advancements by : Prabhakar, Pranav Kumar

Download or read book Reshaping Healthcare with Cutting-Edge Biomedical Advancements written by Prabhakar, Pranav Kumar and published by IGI Global. This book was released on 2024-05-06 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite remarkable advancements in biomedical research, the healthcare industry faces challenges in effectively translating these discoveries into tangible patient benefits. Healthcare professionals often need help to keep pace with the rapid evolution of medical knowledge, leading to variations in patient care and treatment outcomes. Policymakers and educators may need more insight to leverage recent biomedical developments in shaping effective health policies and educational curricula. Additionally, ethical considerations surrounding emerging technologies like gene editing and Artificial Intelligence (AI) in healthcare pose complex dilemmas that require careful navigation. Reshaping Healthcare with Cutting-Edge Biomedical Advancements offers a comprehensive solution to these challenges. By providing a detailed exploration of the latest breakthroughs in genomics, regenerative therapies, neurobiology, AI, and more, this book equips healthcare professionals with the knowledge needed to make informed decisions about patient care. It also guides policymakers and educators, offering insights into the implications of recent biomedical advancements for shaping health policies and educational programs.

Principles and Clinical Interventions in Social Cognition

Author: Reddy, K. Jayasankara

Publisher: IGI Global

Published: 2024-03-27

Total Pages: 469

ISBN-13:

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There are a plethora of questions experts are asking surrounding the intersection of clinical intervention practices with social cognition. How do neuro-cognitive processes shape social understanding? What experimental methods illuminate social cognitive complexities? How can social cognition be applied practically in clinical contexts and psycho-social rehabilitation? How does social cognition influence decision-making and cross-cultural perspectives? To find the answers to these concerns, researchers can now look to Principles and Clinical Interventions in Social Cognition, a research book which delves into recent advances, practical applications, and future trajectories within the intricate relationship between social processes and cognitive mechanisms. It adopts a unique structure, each chapter offering a concise introduction to a specific aspect of social cognition. From foundational principles to applications in clinical interventions and individual well-being, it covers neuro-cognitive processes, experiments, and social cognition in various clinical and health conditions. The interdisciplinary nature of this book makes it an authoritative resource for professionals, researchers, and students in psychology, neuropsychology, cognitive psychology, cognitive neuroscience, social work, sociology, management, allied health sciences, and other areas of social science.

Book Synopsis Principles and Clinical Interventions in Social Cognition by : Reddy, K. Jayasankara

Download or read book Principles and Clinical Interventions in Social Cognition written by Reddy, K. Jayasankara and published by IGI Global. This book was released on 2024-03-27 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a plethora of questions experts are asking surrounding the intersection of clinical intervention practices with social cognition. How do neuro-cognitive processes shape social understanding? What experimental methods illuminate social cognitive complexities? How can social cognition be applied practically in clinical contexts and psycho-social rehabilitation? How does social cognition influence decision-making and cross-cultural perspectives? To find the answers to these concerns, researchers can now look to Principles and Clinical Interventions in Social Cognition, a research book which delves into recent advances, practical applications, and future trajectories within the intricate relationship between social processes and cognitive mechanisms. It adopts a unique structure, each chapter offering a concise introduction to a specific aspect of social cognition. From foundational principles to applications in clinical interventions and individual well-being, it covers neuro-cognitive processes, experiments, and social cognition in various clinical and health conditions. The interdisciplinary nature of this book makes it an authoritative resource for professionals, researchers, and students in psychology, neuropsychology, cognitive psychology, cognitive neuroscience, social work, sociology, management, allied health sciences, and other areas of social science.

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Author: Cengiz Kahraman

Publisher: Springer Nature

Published: 2020-07-10

Total Pages: 1701

ISBN-13: 3030511561

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This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

Book Synopsis Intelligent and Fuzzy Techniques: Smart and Innovative Solutions by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques: Smart and Innovative Solutions written by Cengiz Kahraman and published by Springer Nature. This book was released on 2020-07-10 with total page 1701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Author: Jorge Garza Ulloa

Publisher: Elsevier

Published: 2021-11-30

Total Pages: 705

ISBN-13: 0128209348

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Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients

Book Synopsis Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models by : Jorge Garza Ulloa

Download or read book Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models written by Jorge Garza Ulloa and published by Elsevier. This book was released on 2021-11-30 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients

Analyzing Current Digital Healthcare Trends Using Social Networks

Author: Baral, Sukanta Kumar

Publisher: IGI Global

Published: 2024-04-05

Total Pages: 330

ISBN-13:

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In the world of digital healthcare, a critical issue looms large, demanding the immediate attention of academic scholars. The convergence of developing medical technologies, innovative digital solutions, and intricate healthcare structures has set the stage for a seismic transformation. However, the understanding of this evolving landscape remains inadequate, and the urgency to decipher these intricacies has never been more pressing. As we witness the rapid expansion of mobile-based digital healthcare, a fundamental problem becomes evident – a lack of comprehensive research on the industry's structure and dynamics. This gaping void in knowledge is the challenge that Analyzing Current Digital Healthcare Trends Using Social Networks undertakes with groundbreaking academic rigor. This book is a key resolution to this overarching problem, and it is meticulously designed to serve academic scholars seeking to unravel the intricacies of the digital healthcare ecosystem. By delving deep into the web of stakeholders, industry-specific challenges, and regulatory frameworks, it provides a comprehensive analysis that is long overdue. Extensive use of research articles, case studies, and empirical evidence serves as a compass to navigate the complexities of digital healthcare. The ultimate goal is to empower academic scholars with knowledge, bridging the gap between theory and practice.

Book Synopsis Analyzing Current Digital Healthcare Trends Using Social Networks by : Baral, Sukanta Kumar

Download or read book Analyzing Current Digital Healthcare Trends Using Social Networks written by Baral, Sukanta Kumar and published by IGI Global. This book was released on 2024-04-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of digital healthcare, a critical issue looms large, demanding the immediate attention of academic scholars. The convergence of developing medical technologies, innovative digital solutions, and intricate healthcare structures has set the stage for a seismic transformation. However, the understanding of this evolving landscape remains inadequate, and the urgency to decipher these intricacies has never been more pressing. As we witness the rapid expansion of mobile-based digital healthcare, a fundamental problem becomes evident – a lack of comprehensive research on the industry's structure and dynamics. This gaping void in knowledge is the challenge that Analyzing Current Digital Healthcare Trends Using Social Networks undertakes with groundbreaking academic rigor. This book is a key resolution to this overarching problem, and it is meticulously designed to serve academic scholars seeking to unravel the intricacies of the digital healthcare ecosystem. By delving deep into the web of stakeholders, industry-specific challenges, and regulatory frameworks, it provides a comprehensive analysis that is long overdue. Extensive use of research articles, case studies, and empirical evidence serves as a compass to navigate the complexities of digital healthcare. The ultimate goal is to empower academic scholars with knowledge, bridging the gap between theory and practice.