1st Edition
Advancing Healthcare through Data-driven Innovations
Preface
1. Big Data’s Impact on Healthcare Transformation
Aaryan Gupta and Aarushi Gupta
2. Artificial Intelligence and Machine Learning Approaches for Healthcare
Manjulata Badi
3. Predictive Analytics Tools and Techniques for Disease Prevention and Early Detection in Healthcare Sector
Prakash Kuppuswamy, M. Mohan, Sayed QY Al Khalidi and Vijaya Varshini Prakash
4. Machine Learning-Based Analysis for Detection of Pancreatic Adenocarcinoma Using Urinary Biomarkers
Shroddha Ghosh, Aleena Swetapadma, Satya Subham Nayak and Biswajit Sahoo
5. Gland Segmentation in Colon Histology Images Using Deep Learning Method
Aditi Sharma, Poojasri Inagala, Jayesh Gangrade and Hemlata Parmar
6. Comparative Analysis for Detecting Cancer in Various Organs using Cellular Automata based Segmentation Technique
Rupashri Barik, Prakhar Pipersania, Samarpan Chandra, Samudraneel Banerjee, Shalini Basak, Shashwat Jha and Nazma B. J. Naskar
7. Convolutional Neural Networks and Transfer Learning for Medical Image Analysis: A Comprehensive Review
Vinay Dubey, Aakansha Gupta and Rahul Katarya
8. Multi-Objective Optimisation Enabled Improved Feature Selection
Shreya, Adarsh Kumar Arya, Devanshi Srivastava and Ashish Kapoor
9. IoT-Blockchain in Remote Pregnancy Care Coordination
Mohammad Mobarak Hossain, Mahruf Islam Prottoy, Md. Samin Morshed, Dr. Mohammod Abul Kashem
and Muhammad Usama Islam
10. Strengthening Healthcare Data Security and Privacy
Vibha Jain and Rohit Singh
11. The Future of Healthcare: Data-driven Trends and Innovation
Wasswa Shafik
Index
Biography
Dr. Gunjan is an Assistant Professor at the National Institute of Technology, Delhi, India. She received her Bachelor's in Technology in 2012 from Maharishi Dayanand University, Haryana, India, and her Masters in Technology from the National Institute of Technology, Jalandhar, India, in 2014. She has completed her Ph.D. in Computer Science and Engineering from the National Institute of Technology, Delhi, India. Her research interests lie in the domains of Energy techniques in Wireless Sensor Networks, Machine Learning, and Health Informatics.
Dr. Aditya Gupta is an Assistant Professor at Thapar Institute of Engineering and Technology, Patiala, Punjab, India known for his research in big data analytics, machine learning, health informatics, and blockchain. He has completed his doctoral studies at Dr B R Ambedkar National Institute of Technology, Jalandhar, India. He has published several papers in reputable international journals and completed many government-sponsored research projects. Dr. Gupta's work has significantly impacted various sectors, particularly in healthcare, where he has developed advanced health informatics systems. His expertise and dedication to research have earned him recognition as an accomplished academic and mentor.
Dr. Vibha Jain is an Assistant Professor at Thapar Institute of Engineering and Technology in Patiala, Punjab, India. She completed her Ph.D. from Netaji Subhas University of Technology in New Delhi and her Master of Technology from the National Institute of Technology in Hamirpur, India, in 2018, where she was a gold medalist. She has published papers in reputed international journals and is currently working on edge/fog computing, blockchain, and machine learning for medical diagnosis.
