Artificial Intelligence in e-Health Framework, Volume 1

Auteur
Dr. Sudip Paul, Post-Doctoral Fellow and PhD, is currently an Associate Professor & Teacher In-Charge in the Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India. He has published over 40 journal papers, over 35 conference papers, and has contributed his knowledge as editorial board member and reviewer for multiple international journals. He has been granted one patent of eight filled and completed more than ten book projects. Dr. Sudip has presented his research accomplishments in countries around the world. He is a member of multiple societies and professional bodies, including APSN, ISN, IBRO, SNCI, SfN, IEEE, IAS. Dr. Sudip has received many awards, including the World Federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee, and ISN Travel Awardee. Dr. Jasjit Suri, PhD, MBA, is an innovator, visionary, scientist, and internationally known world leader. Dr Suri received the Director General's Gold medal in 1980 and Fellow of (i) American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC, (ii) Institute of Electrical and Electronics Engineers, (iii) American Institute of Ultrasound in Medicine, (iv) Society of Vascular Medicine, (v) Asia Pacific Vascular Society, and (vi) Asia Association of Artificial Intelligence. Dr. Suri was honored with life time achievement awards by Marcus, NJ, USA and Graphics Era University, Dehradun, India. He has published nearly 300 peer-reviewed Artificial Intelligence articles, nearly 2000 Google Scholar Publications, 100 books, and 100 innovations/trademarks leading to an H-index of nearly 100 with about 43,000 citations. He has held positions as chairman of AtheroPoint, CA, USA, IEEE Denver section, Colorado, USA, and advisory board member to healthcare industries and several universities in the United States of America and abroad.

Texte du rabat

Artificial Intelligence in e-health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis **presents a variety of AI techniques and applications for solving issues in the healthcare industry. As Artificial Intelligence is increasingly incorporated into medical systems and methods, it is critical to understand the formulations and basics of machine and deep learning as well as how to implement these advances into practice. This book specifically explores Artificial Intelligence developments in disease diagnosis, health monitoring, medical image recognition and diagnostics, as well as e-health records management. It is a valuable resource for health professionals, scientists and researchers, students, and all who wish to broaden their knowledge in this advancing technology.

Contenu

Section 1: Introduction to Artificial Intelligence 1. Data Processing 2. Regression, Classification, and Clustering Algorithms 3. Deep Learning Section 2: Application of Artificial Intelligence in Disease Diagnosis 4. Application of Artificial Intelligence in Pioneering Heart Disease Detection 5. From Data to Diagnosis: Leveraging Machine Learning for Heart Disease Classification with the Cleveland Heart Disease Dataset 6. AI-based Treatment Solutions 7. Application of AI in Big Data Management Section 3: AI in Health Monitoring and Wearables Devices 8. Remote Health Monitoring Using Artificial Intelligence 9. Predicting Women’s Fertility with AI 10. A Comparative Study on "Face Mask Detection" Using Machine Learning and Deep Learning Algorithms 11. Enhancing Communication: A Review on AI Wearables for the Deaf and Mute 12. AI based cuffless digital sphygmomanometric measuring system for chronic illness patients Section 4: Application of AI Medical Image Recognition 13. Identifying Cardiovascular Abnormalities 14. Nonlinear activation functions of convolutional neural networks for classification of brain tumors using magnetic resonance imaging 15. Artificial Intelligence-Based Management Prospects of Neurological Disorders with Special Reference to Epilepsy 16. Screening for Common Cancers