Predictive Data Modelling for Biomedical Data and Imaging (eBook, ePUB)

Redaktion: Tanwar, Poonam; Rawat, Seema; Raza, Haider; Kalaiselvi, K.; Kumar, Tapas

• Format: ePub

Produktbeschreibung

This book explores predictive data modeling for biomedical data and imaging in healthcare.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 13. September 2024
• Englisch
• ISBN-13: 9781040124253
• Artikelnr.: 72286559

Autorenporträt

Dr. Poonam Tanwar has 21 years of teaching experience working as professor in Manav Rachna International Institute of Research & Studies, Faridabad. She has published more than 100 research papers in various international journals and conferences, 40 are indexed in Scopus. She has one copyright and filled six patents. She has edited books and was guest editor for special issues of for International Journal of Recent Patents in Engineering (UAE) and one more is in process. She has been awarded a woman researcher award by VDGOODS Academy Chennai, International Inspirational Woman Award 2020. She has organized various science and technology awareness programs for rural development. She received a Certificate of RECOGNITION (Silver Category) for outstanding contribution to the Campus Connect Program for all academic years since 2011 to 2017 by INFOSYS, Chandigarh. She is convenor and coordinator of many technical events like IEEE international conference COM-IT-CON 2019, 2022, International symposium on Computational Intelligence, International Hackhthon (Hack the Mountain), etc. Beside this she is Technical program committee member for various International Conferences Like ICIC 2018, ICFNN, Rome(Italy ), European Conference on Natural Language Processing and Information Retrieval, Berlin(Europe), etc. Dr. K. Kalaiselvi received her doctoral degree from Anna University, Chennai, India in 2013 under the Faculty of Science and Humanities. Currently she is working as an Assistant Professor in the Department of Data Analytics, Saveetha College of Liberal Arts and Sciences, SIMATS, Chennai, India. She completed a mini project entitled "Mobile Tracking System for Preventing the Propagation of Feminine Victim" funded by VISTAS Project, developed e-content for the Database Management Systems course, SAP. She has published more than 60 articles in the Scopus indexed journals, Web of Science and UGC Journal and presented more than 20 research papers at international conferences. She filed and published a patent based on Internet of Things applications and has published around five monographs which includes Springer, Emerald publisher. She has acted as reviewer and editorial board member for reputed journals. She received a "Senior Woman Educator & Scholar Award" in the 11th Teachers Day Awards 2020, a "Young Woman Educator & Scholar Award" in the 6th National Women's Day Awards 2019, and a"Best Researcher Award" from DK International Research Foundation, 2018. Dr. Tapas Kumar holds a Ph.D. degree in Engineering (2013), gained at Dept. Of Computer Sc. & Engineering, Birla Institute of Technology, Mesra, Ranchi, (Jharkhand). He received his master's degree in Computer Science from Guru Jambeshwar University of Science and Technology, India, and a B.E. from Amravati University, Amravati. He has supervised 10 M.Tech theses and guided more than 200 students of B.E/B.Tech in their research-based and application-based projects. Prof. Tapas Kumar has published almost 45 research articles in refereed international journals and15 research papers presented and published in various international and national conferences and scholarly meetings. He has also successfully guided six Ph.D. scholars. Dr. Haider Raza received a Ph.D. in Computer Science from University of Ulster, Northern Ireland, UK, a master's degree in Computer Engineering from Manav Rachna International University, India, and a bachelor's degree in Computer Science and Engineering from Integral University, India. He completed his primary and secondary education in 1991-2003 from Colvin Taluqdars' College in Lucknow, which is one of the oldest private schools in India. He was born in the city of Lucknow and spent nearly 24 years there. He has previously worked at Swansea University, Wales, UK, University of Ulster, Northern Ireland, UK, Dilla University, Ethiopia, and Manav Rachna International University, India. He is a Fellow of the Higher Education Academy (FHEA) and a Senior Member of the Institute of Electrical and Electronics Engineers (SMIEEE). His research interests focus on the artificial intelligence machine learning for decision making, non-stationary learning, brain-computer interface, EEG/MEG signal processing, computer vision, and computational intelligence methods for healthcare, businesses, and environment. Dr. Seema Rawat is an Associate Professor, Amity School of Engineering and Technology, Amity University Tashkent, Uzbekistan with around 15 years of teaching experience. Her research areas are cloud computing, data mining, artificial intelligence, and big data. She has a lot of research experience and has published more than 100 research papers in international journals and conferences (Scopus indexed) and book chapters, and holds 12 Patents. She is the Placement Head of the Department of Information Technology, Head of the Entrepreneurship cell, Advisor of Amity IEEE student chapter (AICSC) and manages the funding and consultancy. She is a member of many international journals and conferences like Elsevier, IGI, Wiley, Inderscience and has reviewed many technical articles. She is a member of IETE, ACM, WEC (Women Entrepreneurship Cell), and other renowned technical societies and committees. She is a technical advisor at Deetya-Soft Pvt. Ltd. Noida, Ennoble Pvt. Ltd., MyDigital360, MSME Technology incubators, etc. She received government funding from the Ministry of Skill and Development for her project. She was awarded the "Faculty Innovation Excellence award 2019" on World Intellectual day by the secretary of the Department of science and technology, Government of India.

Inhaltsangabe

1. Introduction and Tour of Various Tools of Predictive Analytics for
Medical Science 2. Machine Learning Classification Algorithms for
Prediction of Diseases 3. Biomedical Data Visualization and Data
Representation 4. Classification and Clustering Algorithms for Medical Data
5. Optimized Data Retrieval and Data Storage for Health Care Application 6.
Computational Intelligence System for Healthcare 7. High Performance
Intelligent Systems for Real Time Medical Imaging 8. A Real-time Patient
Health Monitoring System 9. Ensembled Convolutional Neural Network for
Multi-class Skin Cancer Detection 10. Similarity Index Retrieval for School
Kids' Sitting Posture Identification 11. Identification, Analysis and
Recommendation of Sitting Posture of School Kids. 12. Fatty Liver Disease
Prediction: Using Machine Learning Algorithms 13. Computer Aided Drug
Design Case Study on Development of New Chemical Entities in the Management
of HIV 14. Detection of Brain Tumor MRI Images using Comparison using
Comprises on Analysis of Deep Learning Techniques 15. Biomedical
Applications of Footprint Recognition: Harnessing Artificial Intelligence
and Machine Learning for Footprint Image Monitoring