Advanced Prognostic Predictive Modelling in Healthcare Data Analytics

Data visualization in the transformation of healthcare industries.- Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction.- Disease Prediction Using Data Mining and Machine Learning Techniques.- Prognostic modeling with the internet of Healthcare things applications.- Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach.- Early Screening of COVID-19 from Chest CT using Deep Learning Technique.- Clinical Decision-Making and Predicting Patient Trajectories.

Dr. Sudipta Roy has received his Ph.D. in Computer Science & Engineering from the Department of Computer Science and Engineering, University of Calcutta. He is an author of more than forty publications in refereed national/international journals and conferences including IEEE, Springer, Elsevier and many others. He is an author of one book and many book chapters. He holds an US patent in medical image processing and filed an Indian patent in smart agricultural system. He has served as a reviewer of many international journals including IEEE, Springer, Elsevier, IET and many others, and international conferences. He has served as an international advisory committee member and a program committee member of AICAE-2019, INDIACom-2019, CAAI 2018, ICAITA-2018, ICSESS-2018, INDIACom-2018, ISICO-2017, AICE-2017 and many more conferences. He is serving as Associate Editor of IEEE Access, IEEE and International Journal of Computer Vision and Image Processing (IJCVIP), IGI Global Journal. He has more than five years of experience in teaching and research. His fields of research interests are healthcare image analysis, image processing, steganography, artificial intelligence, big data analysis, machine learning and big data technologies. Currently, he is working at PRTTL, Washington University in St. Louis, Saint Louis, MO, USA. 

Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech. (Honours) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech. (Honours) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 16 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining & cloud computing. He has completed a project sponsored by Indian Council of Medical Research, Delhi. He has also published research papers in SCI indexed & Scopus indexed journals and

"The book offers a collection of literature review, and discussions of the methods in computer sciences, artificial intelligence, machine learning and may offer materials for graduate students in biomedical engineering and healthcare communications. I certainly will recommend this book for individuals in data and predictive modelling especially when they are quantitatively inclined as the prognostic modelling techniques rely on mathematical and or statistical formulations." (Reuben Adatorwovor, ISCB News, iscb.info, June, 2022)