Computational Intelligence in Healthcare Applications

Computational Intelligence in Healthcare Applications

1st Edition - June 1, 2022

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  • Editors: Rajeev Agrawal, M. A. Ansari, R. S. Anand, Sweta Sneha, Rajat Mehrotra
  • Paperback ISBN: 9780323990318

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Description

Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare. This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field.

Key Features

  • Presents advanced procedures to address and enhance available diagnostic methods
  • Focuses on identifying challenges and solutions through an integrated approach that shapes a path for new research dimensions
  • Discusses the implementation of deep learning techniques for the detection and classification of diseases

Readership

Graduate students and researchers on medical informatics. Healthcare workers and stakeholders involved in health technology

Table of Contents

  • 1. Mathematical Modeling and its significance in the field of Medical Imaging
    2. Modeling of Healthcare services and its influence on human health
    3. Health care applications design and development
    4. Predictive modeling based on Artificial Intelligence and Deep Learning
    5. Smart health care /wearable devices and their applications
    6. Detection and Classification of different medical disorders using Artificial Intelligence and Deep Learning techniques
    7. Prediction of neurological disorders using MRI and other imaging techniques
    8. Evidence-based predictive modeling using soft computing
    9. Decision support system for clinical applications using AI and other learning techniques
    10. Knowledge-based management system for health care services and usage
    11. Computer-aided diagnostic for clinical inferences
    12. Pervasive and ubiquitous techniques in healthcare

Product details

  • No. of pages: 450
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: June 1, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780323990318

About the Editors

Rajeev Agrawal

Dr. Rajeev Agrawal holds PhD degree on Computer Science from Jawaharlal Nehru University. He has more than 27 years of experience in teaching and research. He was Head of Computer Science Department at Kumaon Engineering College and currently is Director at GL Bajaj Institute of Technology and Management. He holds four patents, received several grants for research projects and is editorial board member of Health Informatics Journal (Sage). Dr. Agrawal main research interests are m-health, medical imaging and wireless networks

Affiliations and Expertise

Director, GL Bajaj Institute of Technology and Management, India

M. A. Ansari

Dr. M.A. Ansari holds PhD degree on Signal and Imaging Processing from Indian Institute of Technology Roorkee. He has 18 years of experience in teaching and research. Currently he is Professor at School of Engineering, Gautam Buddha University, where he supervised 4 PhD and 63 MTech students to date. He authored several book chapters and published almost 30 peer-reviewed articles in international journals. Dr. Ansari main research interests are medical image coding, biomedical instrumentation and control, and digital signal and image processing.

Affiliations and Expertise

Professor, School of Engineering, Gautam Buddha University, India

R. S. Anand

R.S. Anand works in the Department of Electrical Engineering at IIT Roorkee, India.

Affiliations and Expertise

Department of Electrical Engineering, IIT Roorkee, India

Sweta Sneha

Sweta Sneha works in the Michael J. Coles College of Business at Kennesaw State University, USA.

Affiliations and Expertise

Michael J. Coles College of Business, Kennesaw State University, USA

Rajat Mehrotra

Rajat Mehrotra works in the Department of Electronical and Electronics Engineering at GL Bajaj Institute of Technology and Management, India.

Affiliations and Expertise

Department of Electronical and Electronics Engineering, GL Bajaj Institute of Technology and Management, India

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