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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.
Decision-making in the medical profession is imprecise and fuzzy logic handles the partial truth concept well. Fuzzy logic is advantageous in situations in which the truth-value ranges between completely false and completely true. The combination of the established fuzzy logic concepts with the IoMT systems is a game-changer. The fuzzy logic theory is an important tool that deals with imprecise linguistic concepts, addresses the loss of precision in the decision-making power of a physician, and ultimately will improve medical science in the ensuing digital era.
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.
The first chapter focuses on the IoMT paradigm, its healthcare applications, the challenges, how to surmount them, and the distinct benefits. Chapter 2 illustrates various technical challenges in fuzzy-based IoMT system design and development. Chapter 3 conveys the design and implementation of a novel fuzzy logic-based IoMT framework.
Chapter 4 focuses exclusively on the different aspects of fuzzy logic-based medical image processing. It also deals with how fuzzy logic aids in efficient image processing. Chapter 5 explores the development of a fuzzy logic system for monitoring patients’ health conditions and the articulation of solution approaches. Chapter 6 underscores the importance of establishing complete trust between patients and IoT systems using fuzzy logic theory.
Chapter 7 concentrates on articulating and accentuating the proven and potential methods for significantly improving the efficiency of IoMT using fuzzy logic techniques. Chapter 8 is predominantly about fuzzy interference system (FIS) for IoMT...
Audience:
The book will be read and used by researchers in Artificial Intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers