Advanced healthcare systems : empowering physicians with IoT-enable technologies / edited by Rohit Tanwar [and four others].

Format:

Book

Author/Creator:

Tanwar, Rohit, Editor.

Contributor:

Tanwar, Rohit, editor.

Series:

Artificial Intelligence and Soft Computing for Industrial Transformation

Language:

English

Subjects (All):

Internet of things.

Artificial intelligence--Medical applications.

Artificial intelligence.

Physical Description:

1 online resource (385 pages)

Edition:

1

Place of Publication:

Wiley 2022

Summary:

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.

Contents:

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 RemoteBased 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 End User License Agreement

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781119769279

1119769272

9781119769286

1119769280

9781119769293

1119769299

OCLC:

1297040208