1st Edition

IoT and AI-Enabled Healthcare Solutions for Intelligent Disease Prediction

266 Pages 16 Color & 65 B/W Illustrations
by CRC Press

266 Pages 16 Color & 65 B/W Illustrations
by CRC Press

The book presents fundamental to advanced concepts of AI and IoT in healthcare and disease prediction, demonstrating the emerging mechanisms, including machine learning, deep learning, image sensing, and explainable AI models to handle issues in healthcare industries with real-life scenarios. Included chapters are contributed by experienced professionals and academicians who examine severe... Read more

Preface  

 

1. Introduction to IoT and AI for Providing Healthcare Solutions

Shweta Agarwal, Kaljot Sharma and Chandra Sekhar Dash

 

2. Seeing Beyond Symptoms: Utilizing Machine Learning Techniques for Early Diabetes Diagnosis

Garima Singhal, Aniket Singh, Kimmi Verma and Nitesh Singh Bhati

 

3. A Decent ML-Based System for Cardiovascular Disease Detection

Akshima Aggarwal, Shobhit Prajapati and Fadi Al-Turjman

 

4. Breast Cancer Detection Using Explainable Artificial Intelligence

Atul Rathore, Praveen Lalwani and Pooja Lalwani

 

5. Deep Learning Applications for Chronic Disease Detection and Prevention

Shaheen Layaq and B. Manjula

 

6. Glaucoma Detection Using Retinal Images Employing Machine Learning (ML) Algorithms

Preeti Sharma

 

7. Design and Development of Intelligent Systems for Skin Cancer Detection

Chaahat, Rohini Raina, Meenu Lochan and Naveen Kumar Gondhi

 

8. IoT Enabled System for Regulating Medical Efficiency and Healthcare Services

Arnika, Pramod Kumar Sagar, Birendra Kumar Saraswat and Anu Chaudhary

 

9. Tumor Prediction Using MRI Images Employing Deep Neural Network

Monika Sharma, Dimple Tiwari, Shivani Trivedi and Harsiddhi Singh Dev

 

10. Nanorobots in the Treatment of Cancer: A Revolutionizing and Precision Medicine With Advantages and Limitations

Ayush Ranjan, Ayasha Malik and Ayush Kumar Singh

 

11. Methods of Explainable AI for Continuum Blood Glucose Monitoring with Various Challenges and Future Research Direction

Kritant Kumar, Ayasha Malik and Chadi Altrjman

 

12. IoT and AI-based Intelligent Management of Heart Rate Monitoring

Sonam Juneja, Souvik Maiti and Bhoopesh Singh Bhati

 

13. Brain Tumor Prediction using MRI Images Employing Convolutional Neural Network (CNN)

T. Swapna and B. Manjula

 

14. Decision Support System for Miscarriage Rate Prediction

Shiva Tiwari, Dimple Tiwari and Sagar Singh

 

Index  

Biography

Dr. Bhoopesh Singh Bhati is an Assistant Professor in Indian Institute of Information Technology Sonepat (Institution of National Importance) Under Ministry of Education, Government of India. He received his Ph.D. (Computer and Engineering) from the University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University Delhi, in 2020. Dr. Bhati has published various research papers in highly reputed, SSCI/SCI/SCIE‐indexed journals including Elsevier, Wiley, Springer, Inderscience, etc. He is a recognized/active reviewer for various reputed journals of IEEE, Elsevier, Wiley, Springer etc. Dr. Bhati has an h‐index of 13 and an i10 index of 14.

Dr. Dimple Tiwari is an Assistant Professor at the School of Engineering & Technology, Vivekananda Institute of Professional Studies ‐ Technical Campus, Delhi, India. She received her Ph.D. (Computer and Engineering) from the University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University Delhi, in 2023. Dr. Tiwari has published various research papers in highly reputed, SSCI/SCI/SCIE-indexed journals including Elsevier, Wiley, Springer, Inder science, etc. She is a recognized/active reviewer for various reputed journals of IEEE, Elsevier, Wiley, Springer etc.

Dr. Nitesh Singh Bhati is an Assistant Professor in the School of ICT, Department of Computer Science and Engineering at Gautam Buddha University, Greater Noida, UP, India. He holds a B.Tech from UPTU Lucknow, M.Tech, and Ph.D. in Computer Science and Engineering from GGSIPU, New Delhi. He has more than 8 years of teaching experience. His research interests focus on Information Security, Machine Learning & Artificial Intelligence, where he has contributed to advancing knowledge and solutions in the field. He has published various research papers in reputed journals. Dr. Bhati is an active reviewer for various reputed journals, further enhancing his involvement in the academic community.