Academic Press Computational Intelligence in Healthcare Applications

Product 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. Review Brings updated knowledge on computational intelligence tools and techniques applied to the healthcare sector From the Back Cover <i>Computational Intelligence in Healthcare Applications</i> discusses a variety of techniques designed to represent, enhance, and empower inter-domain research based on computational intelligence in healthcare. It serves as a reference for pervasive healthcare domain which takes into consideration future and beyond the new convergent computing and other applications.<br><br>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.<br><br>It is a valuable resource for graduate students and researchers in medical informatics, and members of biomedical field and healthcare industry who are interested in learning more about novel technologies and their application in the field. About the Author 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. Sweta Sneha works in the Michael J. Coles College of Business at Kennesaw State University, USA. Rajat Mehrotra works in the Department of Electronical and Electronics Engineering at GL Bajaj Institute of Technology and Management, India.