Advances in Fuzzy-Based Internet of Medical Things (IoMT)

Advances in Fuzzy-Based Internet of Medical Things (IoMT)

English | 2024 | ISBN: 978-1394242221 | 320 Pages | PDF, EPUB | 10 MB

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.


The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.