1st Edition
IoT and AI-Enabled Healthcare Solutions for Intelligent Disease Prediction
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.






