Computational Intelligence in Healthcare Applications

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 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. R.S. Anand works in the Department of Electrical Engineering at IIT Roorkee, India. Dr. Sweta Sneha is Dean of the Wright School of Business and Sesquicentennial Endowed Chair at Dalton State College. Previously, she served on the faculty at Kennesaw State University and founded its interdisciplinary Master of Science program in Healthcare Management and Informatics. Her work focuses on health informatics and healthcare management. 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.

“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)

• 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