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books
| book details |
Machine Learning and IoT Applications for Health Informatics
Edited by Pijush Samui, Edited by Sanjiban Sekhar Roy, Edited by Wengang Zhang, Edited by Y H Taguchi
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This book is currently unavailable. Enquire to check if we can source a used copy
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| book description |
This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 31 Oct 2024
Language |
Format | Digital (delivered electronically)
Pages | 250
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0402-2816-6
Readership Age |
BISAC | technology / automation
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