Full Description
This new book explores the development of smart bioelectronics and biomedical devices using advanced
information technology, which has significantly revolutionized biomedical engineering and healthcare,
enabling a variety of applications in advanced clinical medicine, surgery, and implants. The book considers
the integration of AI, big data analytics, the Internet of Things, machine learning, cloud storage, and other
technologies for predictive modeling, information analysis, etc., for medical diagnosis and treatment. It
covers areas such as medical image retrieval, machine learning for diagnosis, biomedical applications
based on mobile phone cell network systems, and much more.
Contents
1. The Role of Big Data Analytics and IoT in the Healthcare Domain. 2. Machine Learning Techniques Used for Biomedical and Healthcare Systems. 3. Study of ML-Enabled Big Data Analysis for IoT-Based Smart Medico Systems. 4. Predictive Modeling of Vector-Borne Diseases and Their Pathogens Using Artificial Intelligence. 5. Machine Learning with Cloud-IoT in a Health Prediction System. 6. Implementation of Compact Dual-Band Printed Antenna for Biomedical Applications. 7. Biomedical Applications Based on Mobile Phone Cell Network Systems. 8. Intelligent Visual to Textual Mapping in Automatic Medical Diagnosis and Treatment. 9. Design and Analysis of OTA-OC CMOS Filter for Recording High Focal Oscillations-EEG Application. 10. A Flow-Induced Piezoelectric Vibration Energy Harvester (PVEH) with Magnetic Force Enhancement in Biomedical and mHealth. 11. Analysis of Integrated Intelligent Methods Toward Medical Decision-Making. 12. Image Description Based Medical Image Retrieval. 13. Deep Learning, Extreme Machine Learning, and Kernel-Based ELM for the Diagnosis of Alzheimer's Disease.
