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Computational Health Informatics for Biomedical Applications

Editat de Aryan Chaudhary, Sardar M. N. Islam (Naz)
en Limba Engleză Hardback – 30 iun 2023
The recent explosion of technology in healthcare has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical Things have evolved to tackle the need for remote healthcare systems, augmenting them in a self-sustainable way. This new volume explores the many important smart technologies that can make healthcare delivery and monitoring faster, more efficient, and less invasive. It looks at computational tactics as applied to the development of biomedical applications using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies. The book provides a solid framework to give the modern class of medical gearheads information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare.
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Specificații

ISBN-13: 9781774912539
ISBN-10: 1774912538
Pagini: 364
Ilustrații: 7 Tables, black and white; 8 Line drawings, color; 102 Line drawings, black and white; 2 Halftones, black and white; 8 Illustrations, color; 104 Illustrations, black and white
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.83 kg
Ediția:1
Editura: Apple Academic Press Inc.
Colecția Apple Academic Press

Notă biografică

Aryan Chaudhary is the Research Head and Lead Member of the research project launched by Nijji Healthcare Pvt Ltd. He focuses on implementing technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to improve the healthcare sector. He has published academic papers on public health and digital health in international journals and has participated as a keynote speaker at international and national conferences. He is editor of many books on biomedical science and chief editor of a CRC book series. He also serves as a guest editor of many special journal issues. He was named Most Inspiring Young Leader in Healthtech Space 2022 by Business Connect and received a Global Education and Corporate Leadership award for best project leader.
Sardar M. N. Islam (Naz) is currently a Professor at the Institute for Sustainable Industries & Liveable Cities and Lead of the Decision Sciences and Modelling Program at Victoria University, Australia. He is also a Distinguished Visiting Professor of Artificial Intelligence at Sriwijaya University (UnSri), Indonesia, and was a Distinguished Visiting Professor (2019–2021) at American University of Ras Al Khaimah, United Arab of Emirates. His academic work has gained international acclaim, resulting in many honors and awards, visiting and adjunct professorial appointments in different countries, appointments in editorial roles of journals, and invitations as keynote speaker at international conferences. He has published over 30 scholarly authored academic books in different disciplines. He has also published about 250 articles, including some in the top leading international journals in his specialized research areas.

Cuprins

1. IoT-Based Healthcare Systems and Their Security Concerns  2. Distributed Bragg Reflector Biosensor for Medical Applications  3. Photonic MEMS Sensor for Biomedical Applications  4. Chaotic and Nonlinear Features as EEG Biomarkers for the Diagnosis of Neuropathologies  5. Application of Artificial Intelligence and Deep Learning in Healthcare  6. Heart Disease Prediction Desktop Application Using Supervised Learning  7. Coronavirus Outbreak Prediction Analysis and Coronavirus Detection Through X-Ray Using Machine Learning  8. Numerical Analysis of Bioheat Transfer in Thermal Medicine  9. Evolution of Artificial Intelligence and Deep Learning in Healthcare  10. Medication Extender Drone Using CoppeliaSim  11. Big Data and Visualization-Oriented Latency-Aware Smart Health Architecture  12. Signal Processing in Biomedical Applications in Present and Future Development  13. Emerging Trends in Healthcare and Drug Development  14. Future Directions in Healthcare Research

Descriere

Explores computational tactics as applied to the development of biomedical applications, using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies.