Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape (Advances in Data Science-Driven Technologies Book 1)

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.