Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.

Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts.

This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.

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Yes, you can access Smart Technologies in Healthcare Management by Nidhi Sindhwani,Sarvesh Tanwar,Ajay Rana,Ramani Kannan in PDF and/or ePUB format, as well as other popular books in Business & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Business

Subtopic

Industrial Engineering

Index

Business

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
About the Editors
List of Contributors
Chapter 1 Role of Big Data Analysis for Smart Healthcare in Large Cities
Chapter 2 Machine Learning-Based Inconsistency Detection in Medical Data
Chapter 3 A Perspective on Improvements in Segmentation Image Processing in Healthcare Datasets
Chapter 4 Health Risk Analysis Based on Embedded IoT Data and Machine Learning
Chapter 5 A Comparison and Analysis of Risk Based on IoT and Healthcare
Chapter 6 Biomechanics Features-Based IoT and Machine Learning for Orthopedic Patients
Chapter 7 Healthcare-Based Human Activity Recognition and Transportation Mode Detection Using IoT Sensors
Chapter 8 A Study of Metaverse on Medicare Analysis Using Healthcare Analysis
Chapter 9 Blockchain and IoT Sensors in Healthcare 5.0
Chapter 10 Role of Cloud Computing in Healthcare Sector
Chapter 11 Challenges Faced by AI in Healthcare and Future Opportunities
Chapter 12 Privacy and Security Considerations in Healthcare: Navigating the Challenges of IoT and Ubiquitous Computing
Chapter 13 Empowering Harvest – Unlocking the Secrets to Optimal Health
Chapter 14 Violence-Based Object Detection in Streets for Effective Monitoring of Safe Environments
Chapter 15 COVID Safety Compliance Detection to Determine Locations with High Probability of Spread of Infection
Chapter 16 Transfer Learning and Chest X-Ray-Based Image Processing and Modeling to Detect COVID-19
Index

About this book

Frequently asked questions

Information

Table of contents