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Elsevier

Computational Intelligence in Healthcare Applications

  • 1st Edition - July 14, 2022
  • Latest edition
  • Editors: Rajeev Agrawal, M. A. Ansari, R. S. Anand, Sweta Sneha, Rajat Mehrotra
  • Language: English

Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computati… Read more

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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 Imaging2. Modeling of Healthcare services and its influence on human health3. Health care applications design and development4. Predictive modeling based on Artificial Intelligence and Deep Learning5. Smart health care /wearable devices and their applications6. Detection and Classification of different medical disorders using Artificial Intelligence and Deep Learning techniques7. Prediction of neurological disorders using MRI and other imaging techniques8. Evidence-based predictive modeling using soft computing9. Decision support system for clinical applications using AI and other learning techniques10. Knowledge-based management system for health care services and usage11. Computer-aided diagnostic for clinical inferences12. Pervasive and ubiquitous techniques in healthcare

Review quotes

“The book covers a variety of applications of artificial intelligence and machine learning in healthcare. It centers around image recognition with dalliances into wearables, women's health, and applied algorithms (e.g. apnea detection using photoplethysmography)… The book covers intelligent computational systems applied to diverse healthcare domains, including image recognition in radiology and histology and pattern recognition such as EEG readings. The book employs graphical representations for building intelligent solutions, enhancing accessibility, recreation, and modification of specific solutions. Tidy tabulated data aids in organizing information.” —©Doody’s Review Service, 2024, Michael V Johnson, BS, DO Candidate (Rocky Vista University College of Osteopathic Medicine)

Product details

  • Edition: 1
  • Latest edition
  • Published: July 14, 2022
  • Language: English

About the editors

RA

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

MA

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

RA

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

SS

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

RM

Rajat Mehrotra

Rajat Mehrotra is an Assistant Professor in the Electrical & Electronics Engineering Department at GL Bajaj Institute of Technology & Management, Greater Noida, India. He received his BTech in Electrical and Electronics Engineering from the Dr. A.P.J. Abdul Kalam Technical University, Lucknow (Formerly UPTU), in 2008 and his MTech in Telecommunication Engineering from the same university, in 2014 and his PhD. in the field of Medical Image Processing. His research interests include digital image processing, biomedical imaging, and deep learning. Currently, he is involved in research with the School of Engineering at Gautam Buddha University, Greater Noida. He has published his research in various journals of international repute. He has more than 14 years of experience in teaching and research. He has also published multiple patents in his area of research.
Affiliations and expertise
Bajaj Institute of Technology ,GL Bajaj Institute of Technology & Management, Greater Noida, India

View book on ScienceDirect

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