Machine learning and IoT applications for health informatics
Machine learning and IoT applications for health informatics
- Boca Raton CRC Press 2025
- viii, 218 p.
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)
9781032544502
Health Information
Healthcare--IoT Applications
Internet of things
610.285 / SAM
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)
9781032544502
Health Information
Healthcare--IoT Applications
Internet of things
610.285 / SAM