Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape
by G. Madhu (Author), Sandeep Kautish (Editor), A. Govardhan (Editor), Avinash Sharma (Editor)
English | 2022 | ISBN: 981507928X | 199 pages | True PDF EPUB | 22.76 MB
This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand.
Chapters cover the following topics:
- A COVID-19 care system for virus precaution, prevention, and treatment
- The Internet of Things (IoT) in Telemedicine,
- Artificial Intelligence for Remote Patient Monitoring systems
- Machine Learning in Telemedicine
- Convolutional Neural Networks for the detection and prediction of melanoma in skin lesions
- COVID-19 virus contact tracing via mobile apps
- IoT and Cloud convergence in healthcare
- Lung cancer classification and detection using deep learning
- Telemedicine in India
This book will assist students, academics, and medical professionals in learning about cutting-edge telemedicine technologies. It will also inform beginner researchers in medicine about upcoming trends, problems, and future research paths in telehealth and telemedicine for infectious disease control and cancer diagnosis.
