Advanced Healthcare Systems

Empowering Physicians with IoT-Enabled Technologies

Rohit Tanwar, S. Balamurugan, Rakesh Kumar Saini, Vishal Bharti, Premkumar Chithaluru, Rohit Tanwar, S. Balamurugan, Rakesh Kumar Saini, Vishal Bharti, Premkumar Chithaluru

• Publisher: Wiley-Scrivener
• Edition: 1
• Year: 2022
• Topic: Informatica
• Print ISBN:
  9781119768869
• Subtopic: Intelligenza artificiale (IA) e semantica
• eBook ISBN:
  9781119769286

ADVANCED HEALTHCARE SYSTEMS

This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists.

The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book.

IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generate—information such as temperature, pressure, humidity, air quality, vibration, and sound—that can be really helpful to rapid diagnosis.

Audience

This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector.

Table of contents

• Cover
• Half-Title Page
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• 1 Internet of Medical Things— State-of-the-Art
• 2 Issues and Challenges Related to Privacy and Security in Healthcare Using IoT, Fog, and Cloud Computing
• 3 Study of Thyroid Disease Using Machine Learning
• 4 A Review of Various Security and Privacy Innovations for IoT Applications in Healthcare
• 5 Methods of Lung Segmentation Based on CT Images
• 6 Handling Unbalanced Data in Clinical Images
• 7 IoT-Based Health Monitoring System for Speech-Impaired People Using Assistive Wearable Accelerometer
• 8 Smart IoT Devices for the Elderly and People with Disabilities
• 9 IoT-Based Health Monitoring and Tracking System for Soldiers
• 10 Cloud-IoT Secured Prediction System for Processing and Analysis of Healthcare Data Using Machine Learning Techniques
• 11 CloudIoT-Driven Healthcare: Review, Architecture, Security Implications, and Open Research Issues
• 12 A Novel Usage of Artificial Intelligence and Internet of Things in Remote-Based Healthcare Applications
• 13 Use of Machine Learning in Healthcare
• 14 Methods of MRI Brain Tumor Segmentation
• 15 Early Detection of Type 2 Diabetes Mellitus Using Deep Neural Network–Based Model
• 16 A Comprehensive Analysis on Masked Face Detection Algorithms
• 17 IoT-Based Automated Healthcare System
• Index
• EULA