Advances in Fuzzy-Based Internet of Medical Things (IoMT) / edited by Satya Prakash Yadav [and three others].

Format:

Book

Author/Creator:

Prakash Yadav, Satya, Editor.

Contributor:

Hassan, Ahdi, 1991- editor.

Language:

English

Subjects (All):

Fuzzy systems in medicine.

Physical Description:

1 online resource (309 pages)

Edition:

First edition.

Place of Publication:

Wiley 2024

Summary:

ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT) This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover: new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels; expounds on fuzzy logic techniques used in medical science; describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis; uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field; provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things. Audience The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.

Contents:

Chapter 1 IoMT-Applications, Benefits, and Future Challenges in the Healthcare Domain Chapter 2 Fuzzy-Based IoMT System Design Challenges Chapter 3 Development and Implementation of a Fuzzy Logic-Based Framework for the Internet of Medical Things (IoMT) Chapter 4 Detecting Healthcare Issues Using a Neuro-Fuzzy Classifier Chapter 5 Development of the Fuzzy Logic System for Monitoring of Patient Health Chapter 6 Management of Trust Between Patient and IoT Using Fuzzy Logic Theory Chapter 7 Improving the Efficiency of IoMT Using Fuzzy Logic Methods Chapter 8 An Intelligent IoT-Based Healthcare System Using Fuzzy Neural Networks Chapter 9 An Enhanced Fuzzy Deep Learning (IFDL) Model for Pap-Smear Cell Image Classification Chapter 10 Classification and Diagnosis of Heart Diseases Using Fuzzy Logic Based on IoT Chapter 11 Implementation of a Neuro-Fuzzy-Based Classifier for the Detection of Types 1 and 2 Diabetes Chapter 12 IoMT Type-2 Fuzzy Logic Implementation Chapter 13 Feature Extraction and Diagnosis of Heart Diseases Using Fuzzy-Based IoMT Chapter 14 An Intelligent Heartbeat Management System Utilizing Fuzzy Logic Chapter 15 Functional Fuzzy Logic and Algorithm for Medical Data Management Mechanism Monitoring Chapter 16 Using IoT to Evaluate the Effectiveness of Online Interactive Tools in Healthcare Chapter 17 Integration of Edge Computing and Fuzzy Logic to Monitor Novel Coronavirus Chapter 18 Implementation of IoT in Healthcare Barriers and Future Challenges EULA

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

1-394-24225-5

1-394-24224-7

OCLC:

1424928955