Editors: G Madhu, Sandeep Kautish, A Govardhan, Mathura Prasad Thapliyal, Avinash Sharma

Series Title: Advances in Data Science-Driven Technologies

Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape

Volume 1

eBook: US $59 Special Offer (PDF + Printed Copy): US $101
Printed Copy: US $71
Library License: US $236
ISSN: 2972-3440 (Print)
ISSN: 2972-3450 (Online)
ISBN: 978-981-5079-28-9 (Print)
ISBN: 978-981-5079-27-2 (Online)
Year of Publication: 2022
DOI: 10.2174/97898150792721220101

Introduction

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.

Audience

Researchers, students, academics, and medical professionals

Preface

This book aims to compile innovative methods and literature related to telehealth and telemedicine that will assist in determining whether there is a need or urgency to intervene, as well as the risk to healthcare workers. Telehealth refers to a wide range of technology and services used to provide patient care and improve the overall healthcare delivery system. Telehealth is distinct from telemedicine because it encompasses a broader range of remote healthcare services.

The content presented in this book offers a variety of methods/techniques that will provide an effective and sustainable solution for precaution, prevention, and treatment to stem the spread of the COVID-19 virus. The Internet of Things (IoT) in Telemedicine, Artificial Intelligence for Remote Patient Monitoring System, Convolutional Neural Networks for Skin lesions prediction, Telemedicine with machine learning, Covid-19 virus contact tracing via mobile app, IoT and Cloud convergence in healthcare exploration analysis, and Lung cancer classification and detection using deep learning technique, have all been thoroughly covered. This edited book also sheds light on upcoming trends, challenges, and future research directions in telehealth and telemedicine for the control of infectious diseases. We editors believe that this book will help the researchers, students, academicians, and medical practitioners know and adopt state-of-the-art technologies in telemedicine.

We would like to express our heartfelt gratitude to our reviewers, who have helped despite their hectic schedules. Thank you very much to all our authors for submitting their work. We would like to express our heartfelt gratitude to Bentham Science Publishers for accepting our proposal to edit this book and for their unwavering support throughout the editing process. Thank you to everyone who has contributed, directly or indirectly, to the completion of this edited book.

We believe the efforts we rendered for editing the book are worthwhile only if this book is of any use to the ordinary end-users of our society. This gratification will motivate us to produce more edited publications that will benefit society.



G. Madhu
Professor, Department of Information Technology
VNR Vignana Jyothi Institute of Engineering
& Technology Hyderabad- 500 090,
Telangana, India


Sandeep Kautish
LBEF Campus, Kathmandu (Nepal) In Academic Collaboration with Asia Pacific University,
Malaysia