1st Edition
Advances in Healthcare Using Machine Learning Volume 2
Preface
1. Machine Learning Approaches for Disease Diagnosis Cervical Cancer Disease Prediction, A Case Study
2. A Conjunctive Framework of Ensemble Learning Model with Explainable AI for Optimizing Parametric Eminence in Heart Disease Prediction
3. AI for Early Identification of Down Syndrome Patients
6. EDiNA-UNet for Liver Segmentation from CT Images
8. A Comprehensive Analysis of Personalized Treatment using Digital Twin Technology in Healthcare
9. NIC − Health: Nature Inspired Computing for Secure and Intelligent Healthcare Systems
10. Semantic Web for Addressing Data Integration Challenges Semantic Data Fabric for Healthcare
Biography
Sriparna Saha (M.E. & Ph.D, JU) is currently an Assistant Professor (Stage-II) in the Department of Computer Science and Engineering of Maulana Abul Kalam Azad University of Technology, West Bengal, India. She has more than 12 years of experience in teaching and research. Her research area includes AI, CV, HCI etc. with over 90 publications in international journals and conferences. Her major research proposal is accepted for Start Up Grant under UGC Basic Scientific Research Grant.
Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on Cognitive Neuroscience, Deep Learning, Type-2 Fuzzy Sets, and Human Memory Formation.
