Название: Artificial Intelligence for the Internet of Health Things
Автор: K. Shankar, Eswaran Perumal, Deepak Gupta
Издательство: CRC Press
Год: 2021
Страниц: 217
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

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.

Artificial intelligence (AI) techniques have the capability of transforming the way that doctors handle patients and deliver services. The AI techniques can help doctors by offering updated medical information to provide effective patient care. The Internet of Things (IoT) refers to sensing devices linked to one another through the Internet. IoT devices can be embed into the healthcare sector to derive Internet of Health Things (IoHT) for patient monitoring through wearables, smart sensors, and smartphones. IoHT tools assist doctors to observe patients in remote areas. Designing AI techniques with IoHT will be key for smart hospitals to improve healthcare applications and services.

- 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