Machine learning and IoT applications for health informatics

Contributor(s):

Material type: Text

TextPublication details: Boca Raton CRC Press 2025Description: viii, 218 pISBN:

9781032544502

Subject(s):

DDC classification:

610.285 SAM

Summary: 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. (https://www.routledge.com/Machine-Learning-and-IoT-Applications-for-Health-Informatics/Samui-SekharRoy-Zhang-Taguchi/p/book/9781032544502)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Public Policy & General Management	610.285 SAM (Browse shelf(Opens below))	1	Available		009249

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Table of contents:
Preface

1. Machine Learning and the Role of IoT in Health Informatics

Burak TAŞCI

2. Bioconductor Packages to Perform Tensor Decomposition Based Unsupervised Feature Extraction

Y-h. Taguchi

3. Smart Health: Advancements in Machine Learning and the Internet of Things Solutions

Narasimha Rao Vajjhala and Philip Eappen

4. A Study Aimed at Presenting Methodologies for Enhancing Cost Efficiency in Healthcare Systems Based on Internet of Things (IoT)by Incorporating Sophisticated Deep Learning and Artificial Intelligence Techniques

Oishik Ghosh

5. Transforming Healthcare through Machine Learning and the Internet of Things

Faridoddin Shariaty

6. IoT-powered AI for Precise Pneumonia Detection in Chest X-Rays

Sanjiban Sekhar Roy, Mohd Anas, Abhishek Kumar Pandey, Ramanathan L. and Kathiravan Srinivasan

7. Tensor Decomposition in Genomics

Y-h. Taguchi

8. IoT, Artificial Intelligence and Cyber Security: The Paradigms Framing the Future of Digital Healthcare

Viraaj Gupta and B.K. Tripathy

9. Integrating IoT, Analytics and Deep Learning in ECG for Cardiovascular care

Tuhin Mukherjee

10. Transfer Learning for Multiclass Classification of Bone Marrow Cells

Rishabh Hanselia, Dilip Kumar Choubey, Kanchan Bala and Ashutosh Mishra

Index

[https://www.routledge.com/Machine-Learning-and-IoT-Applications-for-Health-Informatics/Samui-SekharRoy-Zhang-Taguchi/p/book/9781032544502]

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.

(https://www.routledge.com/Machine-Learning-and-IoT-Applications-for-Health-Informatics/Samui-SekharRoy-Zhang-Taguchi/p/book/9781032544502)

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