Handbook of Deep Learning Models for Healthcare Data Processing by Ajay Kumar - ISBN: 9781032740256
Paperback
Deep learning models revolutionize healthcare data for better patient care and outcomes.
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Handbook of Deep Learning Models for Healthcare Data Processing

Disease Prediction, Analysis, and Applications

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$89.25

  • Paperback

    20 pages

  • Release Date

    16 October 2026

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Summary

In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes.

Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of deep learning models, tech…

Book Details

ISBN-13:9781032740256
ISBN-10:1032740256
Author:Ajay Kumar, Deepak Dembla, Seema Tinker, Surbhi Bhatia Khan
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Paperback
Number of Pages:20
Release Date:16 October 2026
Dimensions:156mm x 234mm
Series:Advancements in Intelligent and Sustainable Technologies and Systems
A-Format
B-Format
C-Format
Handbook of Deep Learning Models for Healthcare Data Processing by Ajay Kumar - ISBN: 9781032740256
156 × 234 mm
A4
mm / in
About The Author

Ajay Kumar

Prof. (Dr.) Ajay Kumar

Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur, Rajasthan, India.

  • Education: Ph.D. in advanced manufacturing and automation; B.Tech. with honors in mechanical engineering; M.Tech. with distinction in manufacturing and automation.
  • Research Areas: Biomedical engineering, incremental sheet forming, artificial intelligence, sustainable materials, robotics and automation, additive manufacturing, mechatronics, smart manufacturing, Industry 4.0, industrial engineering systems, waste management, and optimization techniques.
  • Publications: Over 100 publications in international journals (SCOPUS, Web of Science, SCI-indexed) and refereed international conferences.
  • Conferences Organized: Conference Chair for International Conference on Mechatronics and Artificial Intelligence (ICMAI-2021) and International Conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023).
  • Patents: More than 20 national and international patents.
  • Experience: 15 years in teaching and research; supervised over eight M.Tech and Ph.D. scholars.
  • Other Contributions: Guest editor for several journals; session chair, expert speaker, and editorial board member for international conferences/symposiums; co-authored/co-edited over 15 books and proceedings.
  • Awards: Various proficiency awards including merit awards and best teacher awards.

Dr. Deepak Dembla

Dean and Head of Department, School of Computer Applications; Director of Internships and Accreditation, JECRC University, Jaipur.

  • Education: M.Tech. in IT; MCA and Ph.D. from Guru Jambheshwar University; Postgraduate degree in business management.
  • Experience: 22 years total experience.
  • Specializations: Mobile ad hoc networks, wireless networks, software engineering, cloud computing, AI, & machine learning.
  • Publications: 61 research papers in international and national journals (including SCI-listed) and conferences (IEEE, ACM).
  • Editorial Boards: Member of editorial boards for various international journals.
  • Supervision: Guided a dozen M.Tech. students and actively guiding 10 research scholars for Ph.D. programs.
  • Professional Memberships: ACM, IEEE, International Association of Engineers, International Association of Computer Science and Information Technology.
  • Patents: 10 patents, including one in Germany.

Dr. Seema Tinker

Professor, Mathematics Department, JECRC University.

  • Education: Ph.D. in mathematics.
  • Experience: Over 22 years of academic experience.
  • Research Areas: Blockchain, machine learning, deep learning, fluid dynamics, and relativity.
  • Publications: Over 35 articles in esteemed international publications (Scopus, Web of Science, SCI); presented over 20 papers at national and international conferences.
  • Certifications: Ten certifications in machine and deep learning from institutions including Stanford University and Imperial College London.
  • Books: Produced three books.
  • Patents: Five patents on machine and deep learning topics, one issued in Germany.
  • Awards: “Best Faculty Award” and “Certificate of Excellence.”
  • Other Contributions: Instructor in academic programs organized by the National Centre for Mathematics; session chair, co-chair, organizing committee member, reviewer, and keynote speaker at conferences.

Surbhi Bhatia Khan

Lecturer, Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom.

  • Education: Doctorate of Computer Science and Engineering (Machine Learning and Social Media Analytics); Professional certification from Project Management Institute, United States.
  • Experience: Over 11 years of academic and teaching experience.
  • Publications: 100+ papers in reputed high-indexed journals; authoring or editing 14 books.
  • Patents: 12 international patents (India, Australia, United States).
  • Research Projects: Completed funded research projects from the Deanship of Scientific Research (Saudi Arabia and India); submitted a UK Research and Innovation project with a grant of GBP 400,000; leading a project with Majmah University (Saudi Arabia) with a grant of SAR 1.5 million.
  • Professional Memberships: Senior Member of IEEE, IEEE Young Professionals, ACM.
  • Conferences: Chaired several international conferences and workshops; delivered over 20 invited and keynote talks.
  • Other Roles: Adjunct Professor at Shoolini University; Academic Editor, Associate Editor, or Guest Editor for many reputed journals.
  • Awards: Research Excellence award from King Faisal University (Saudi Arabia) in 2021.
  • Interests: Information systems, sentiment analysis, machine learning, databases, and data science.

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