AI-Enabled IoT for Smart Health Care Systems

$195.00

The book focuses on intelligent computer-aided tools and techniques for early and precise disease diagnosis. Trending topics like deep learning and the internet of things have immense opportunities in healthcare data analytics. So, the contents of the book are targeted mainly at the automated CAD tools for healthcare data analytics. A major portion of the book emphasizes the recent state-of-the-art methodologies, tools, and datasets that are used in healthcare diagnosis, patient monitoring, healthcare recommendation systems, etc.


Made In: United States (US)

Made By Nova Science Publishers, Inc. SKU: ISBN: 978-1-68507-977-2 Categories: , Tags: , More From:

AI-Enabled IoT for Smart Health Care Systems

Table of Contents
Preface
Chapter 1. Role of IoT in Smart Health Care Setups: A Critical Analysis
Akib Mohi Ud Din Khanday1, Qamar Rayees Khan2, Syed Tanzeel Rabani1 and Rumaan Bashir3
1Research Lab, Department of Computer Sciences, BGSB University Rajouri, J&K, India
2Department of Computer Sciences, BGSB University, Rajouri, J&K, India
3Department of Computer Sciences, IUST, Awantipora, J&K, India

Chapter 2. Internet of Things in Health Care: Architecture, Technologies, Protocols, Applications, Challenges, and Future Scope
Mahmood Hussain Mir, Sanjay Jamwal, and Shahidul Islam
Department of Computer Sciences, Baba Ghulam Shah Badshah University, Rajouri, Jammu & Kashmir, India

Chapter 3. Towards the Smart Diagnosis of Brain Disorders Using Artificial Intelligence
Waseem Ahmad Mir1, Izharuddin1, Tawseef Ayoub Shaikh2, and Junaid Ali Reshi1
1 Department of Computer Engineering, Aligarh Muslim University, Aligarh, India
2 Department of Computer Engineering, Pandit Deendayal Energy University,
Gujrat, India

Chapter 4. Machine Learning Techniques for IoT-Enabled Health Care Environment
Ayushi Chahal, Preeti Gulia, and Nasib Singh Gill
Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana, India

Chapter 5. AI, IoT, and Wearable Technology for Smart Health Care
M. Deepika1 and D. Karthika2
1Assistant Professor, Department of Computer Science, B. S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, Tamil Nadu
2Assistant Professor, Department of Computer Science, SDNB Vaishnav College for Women, Chennai, Tamil Nadu

Chapter 6. Polycystic Ovarian Syndrome at a High Rise in Jammu and Kashmir – Its Early Prediction Using Decision Tree Classification Techniques
Anjume Shakir
M. Tech (CSE) Scholar, Desh Bhagat University, Mandi Gobindgarh, Punjab, India

Chapter 7. Data-Driven Modern HealthcareHealth Care Systems with the Internet of Medical Things Combined with Big Data and Machine Learning
E. Fantin Irudaya Raj
Department of Electrical and Electronics Engineering, Dr. Sivanthi Aditanar College of Engineering, Tamilnadu, India

Chapter 8. Real-Time Intelligent Application for Lifestyle and Mind State Monitoring and Simulation Using Digital Twin, Artificial Intelligence, and IoT
Nayana Gupta, N. Manoj Kumar, and Deepak Kumar Bagchi
Coforge, Bengaluru, Karnataka, India

Chapter 9. Explainable Artificial Intelligence in Smart Health Care Systems
Tawseef Ayoub Shaikh1, Tabasum Rasool1, and Abrar Rasool2
1 Department of Computer Science & Engineering, Pandit Deen Dayal Energy University, Gujrat, India
2Interdiciplanry Center for Water Research Indian Institute of Science, Bangalore, India
3Department of Electrical Engineering, Vellore Institute of Technology,
Vellore, Chennai, India

Chapter 10. SleepEEG Study: Automated Sleep Stage System with Machine Learning Techniques
Santosh Kumar Satapathy1, Debabrata Swain2 and Rupalin Nanda3
1 Department of Information and Communication Technology, Pandit Deendayal Energy University, Gujarat, India
2Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gujarat, India
3Department of Department of Electronics and Communication Engineering, Anna University, Chennai, Tamil Nadu, India

Index

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