Predictive Algorithms For Rehabilitation And Assistive Systems


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Predictive Algorithms for Rehabilitation and Assistive Systems


Predictive Algorithms for Rehabilitation and Assistive Systems

Author: Korupalli, V. Rajesh Kumar

language: en

Publisher: IGI Global

Release Date: 2025-05-21


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Advances in predictive algorithms have been integrated into the development and optimization of rehabilitation and assistive technologies. When applied, predictive algorithms, as well as machine learning (ML) models and data analytics, have the potential to create personalized rehabilitation programs and devices. They are important for enhancing the rehabilitation process and improving patient outcomes. As a result, predictive analytics are crucial to advancing healthcare solutions and the field of biomedical engineering. Predictive Algorithms for Rehabilitation and Assistive Systems provides valuable insights into how data-driven approaches can enhance the efficacy of rehabilitation processes, improve patient outcomes, and foster innovation in assistive technology development. Covering topics such as response patterns, maladaptive pain perception, and disease prediction, this book is an excellent resource for biomedical engineers, medical practitioners, policymakers, professionals, researchers, scholars, academicians, and more.

Improving Doctoral Education and Research Development for Sustainability


Improving Doctoral Education and Research Development for Sustainability

Author: Tariq, Muhammad Usman

language: en

Publisher: IGI Global

Release Date: 2025-06-30


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Improving doctoral education and research development advances sustainability in an interconnected world. As global challenges like climate change, resource depletion, and social inequality rise, there is a demand for skilled researchers capable of generating innovative, interdisciplinary solutions. Doctoral programs must evolve to increase academic expertise while fostering critical thinking, collaboration, and practical problem-solving skills. By aligning doctoral training with sustainability goals, academic institutions can empower future researchers to contribute to the creation of resilient, equitable, and environmentally responsible societies. Improving Doctoral Education and Research Development for Sustainability examines enhanced doctoral education practices to support robust and sustainable research and development. It explores innovative strategies, frameworks, and practices that can transform doctoral studies to build resilient research capacities. This book covers topics such as ethics and law, curricula, and learning models, and is a useful resource for educators, academicians, researchers, and scientists.

Artificial Intelligence in Healthcare


Artificial Intelligence in Healthcare

Author: Adam Bohr

language: en

Publisher: Academic Press

Release Date: 2020-06-21


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