Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities
Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities

Author: Moein, Sara

Publisher: IGI Global

Published: 2018-05-25

Total Pages: 210

ISBN-13: 1522555811

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Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress in the diagnosis of heart disorders. Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities is a critical scholarly resource that examines the importance of automatic normalization and classification of electrocardiogram (ECG) signals of heart disorders. Featuring a wide range of topics such as common heart disorders, particle swarm optimization, and benchmarks functions, this publication is geared toward medical professionals, researchers, professionals, and students seeking current and relevant research on the categorization of ECG signals.

Revolutionizing Healthcare Treatment With Sensor Technology
Revolutionizing Healthcare Treatment With Sensor Technology

Author: Das, Sima

Publisher: IGI Global

Published: 2024-05-28

Total Pages: 399

ISBN-13:

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Traditional patient care and treatment approaches often lack the personalized and interactive elements necessary for effective healthcare delivery. This means that the healthcare industry must find innovative solutions to improve patient outcomes, enhance rehabilitation processes, and optimize resource utilization. There is a gap between the traditional approach and the need for innovation that highlights the importance of a comprehensive understanding of emerging technologies, including Kinect Sensor technology, and the potential to transform healthcare practices with this tech. Revolutionizing Healthcare Treatment With Sensor Technology addresses this critical need by thoroughly exploring how Kinect Sensor technology can revolutionize patient care and treatment methodologies. By repurposing and customizing Kinect Sensor for healthcare applications, this book showcases how depth-sensing cameras, infrared sensors, and advanced motion tracking can capture and interpret real-time patient movements and interactions. This book is ideal for healthcare professionals, hospital administrators, researchers, patients, caregivers, and healthcare technology developers seeking to leverage Kinect Sensor technology for enhanced healthcare delivery. Through detailed case studies and practical examples, experts can learn how to integrate Kinect Sensor into various medical settings to gain valuable insights into patients' physical capabilities, monitor their progress, and create personalized treatment plans.

Emerging Trends in the Diagnosis and Intervention of Neurodevelopmental Disorders
Emerging Trends in the Diagnosis and Intervention of Neurodevelopmental Disorders

Author: Gupta, Sanjeev Kumar

Publisher: IGI Global

Published: 2018-10-26

Total Pages: 420

ISBN-13: 1522570055

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Neurodevelopmental disorders encompass a group of conditions that can typically manifest during early childhood. These include intellectual disabilities, communication disorders, autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), specific learning disorder (SLD), and motor disorders. Early identification and assessment can be a valuable tool in determining diagnosis, prognosis, functional abilities, and formulating clinical intervention for both children and adults with neurodevelopmental disorders. Emerging Trends in the Diagnosis and Intervention of Neurodevelopmental Disorders is an essential reference source that discusses and disseminates contributions covering recent trends in diagnosis, assessment, and intervention techniques. Featuring research on topics such as clinical linguistics, neural connectivity, and animal-assisted therapy, this book is ideally designed for speech pathologists, social workers, occupational therapists, psychologists, psychiatrists, neurologists, pediatricians, researchers, clinicians, and academicians seeking coverage on neural and developmental disorder identification and strategies for clinician support and therapies.

Computer Applications in Drug Discovery and Development
Computer Applications in Drug Discovery and Development

Author: Puratchikody, A.

Publisher: IGI Global

Published: 2018-11-23

Total Pages: 348

ISBN-13: 1522573275

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With more restrictions upon animal experimentations, pharmaceutical industries are currently focusing on a new generation of experiments and technologies that are considerably more efficient and less controversial. The integration of computational and experimental strategies has led to the identification and development of promising compounds. Computer Applications in Drug Discovery and Development is a pivotal reference source that provides innovative research on the application of computers for discovering and designing new drugs in modern molecular biology and medicinal chemistry. While highlighting topics such as chemical structure databases and dataset utilization, this publication delves into the current panorama of drug discovery, where high drug failure rates are a major concern and properly designed virtual screening strategies can be a time-saving, cost-effective, and productive alternative. This book is ideally designed for chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians seeking current research on the unexplored avenues and future perspectives of drug design.

Computational Techniques for Dental Image Analysis
Computational Techniques for Dental Image Analysis

Author: Kamalanand, K.

Publisher: IGI Global

Published: 2018-10-30

Total Pages: 358

ISBN-13: 1522562443

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With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Medical Diagnosis Using Artificial Neural Networks
Medical Diagnosis Using Artificial Neural Networks

Author: Sara Moein

Publisher: Medical Information Science Reference

Published: 2014

Total Pages: 0

ISBN-13: 9781466661462

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"This book introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes for those interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care"--Provided by publisher.

Healing Through the Arts for Non-Clinical Practitioners
Healing Through the Arts for Non-Clinical Practitioners

Author: Bopp, Jenny

Publisher: IGI Global

Published: 2018-09-07

Total Pages: 333

ISBN-13: 1522559825

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Time and time again the arts have been called on to provide respite and relief from fear, anxiety, and pain in clinical medicinal practices. As such, it is vital to explore how the use of the arts for emotional and mental healing can take place outside of the clinical realm. Healing Through the Arts for Non-Clinical Practitioners is an essential reference source that examines and describes arts-based interventions and experiences that support the healing process outside of the medical field. Featuring research on topics such as arts-based interventions and the use of writing, theatre, and embroidery as methods of healing, this book is ideally designed for academicians, non-clinical practitioners, educators, artists, and rehabilitation professionals.

Emerging Research in Computing, Information, Communication and Applications
Emerging Research in Computing, Information, Communication and Applications

Author: N. R. Shetty

Publisher: Springer Nature

Published: 2021-11-30

Total Pages: 1015

ISBN-13: 9811613427

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This book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

Machine Learning Algorithms and Applications
Machine Learning Algorithms and Applications

Author: Mettu Srinivas

Publisher: John Wiley & Sons

Published: 2021-08-10

Total Pages: 372

ISBN-13: 1119769248

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Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Author: Thomas, J. Joshua

Publisher: IGI Global

Published: 2019-11-29

Total Pages: 355

ISBN-13: 1799811948

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Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.