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Preface xv -- 1 IoMT--Applications, Benefits, and Future Challenges in the Healthcare Domain 1 E. M. N. Sharmila, K. Rama Krishna, G. N. R. Prasad, Byram Anand, Chetna Vaid Kwatra and Dhiraj Kapila -- 2 Fuzzy-Based IoMT System Design Challenges 25 Ramakrishna Kolikipogu, Shivaputra and Makarand Upadhyaya -- 3 Development and Implementation of a Fuzzy Logic-Based Framework for the Internet of Medical Things (IoMT) 39 Santosh Reddy P., Mamatha A., Akshatha Kamath, Sreelatha P. K., Santosh Y. N. and Pallavi C. V. -- 4 Detecting Healthcare Issues Using a Neuro-Fuzzy Classifier 59 D. Saravanan, R. Parthiban, G. Arunkumar, D. Suganthi, Revathi R. and U. Palani -- 5 Development of the Fuzzy Logic System for Monitoring of Patient Health 75 Norma Ramírez-Asís, Ursula Lezameta-Blas, Anil Kumar Bisht, G. Arunkumar, Jose Rodriguez-Kong and D. Saravanan -- 6 Management of Trust Between Patient and IoT Using Fuzzy Logic Theory 93 L. Rajeshkumar, J. Rachel Priya, Konatham Sumalatha, G. Arunkumar, D. Suganthi and D. Saravanan -- 7 Improving the Efficiency of IoMT Using Fuzzy Logic Methods 107 K. Kiran Kumar, S. Sivakumar, Pramoda Patro and RenuVij -- 8 An Intelligent IoT-Based Healthcare System Using Fuzzy Neural Networks 121 Chamandeep Kaur, Mohammed Saleh Al Ansari, Vijay Kumar Dwivedi and D. Suganthi -- 9 An Enhanced Fuzzy Deep Learning (IFDL) Model for Pap-Smear Cell Image Classification 135 Rakesh S., Smrita Barua, D. Anitha Kumari and Naresh E. -- 10 Classification and Diagnosis of Heart Diseases Using Fuzzy Logic Based on IoT 149 Srinivas Kolli, Pramoda Patro, Rupak Sharma and Amit Sharma -- 11 Implementation of a Neuro-Fuzzy-Based Classifier for the Detection of Types 1 and 2 Diabetes 163 Chamandeep Kaur, Mohammed Saleh Al Ansari, Vijay Kumar Dwivedi and D. Suganthi -- 12 IoMT Type-2 Fuzzy Logic Implementation 179 Sasanko Sekhar Gantayat, K. M. Pimple and Pokkuluri Kiran Sree -- 13 Feature Extraction and Diagnosis of Heart Diseases Using Fuzzy-Based IoMT 195 Tribhangin Dichpally, Yatish Wutla, Vallabhaneni Uday and Rohith Sai Midigudla -- 14 An Intelligent Heartbeat Management System Utilizing Fuzzy Logic 211 K. Suresh Kumar, R. Sudha, T. Suguna and M. K. Dharani -- 15 Functional Fuzzy Logic and Algorithm for Medical Data Management Mechanism Monitoring 225 U. Moulali, Bhargavi Peddi Reddy, Srikanth Bhyrapuneni, Shruthi S.K., Shaik Khaleel Ahamed and Harikrishna Bommala -- 16 Using IoT to Evaluate the Effectiveness of Online Interactive Tools in Healthcare 239 K. Suresh Kumar, Chinmaya Kumar Nayak, Chamandeep Kaur and Ahmed Hesham Sedky -- 17 Integration of Edge Computing and Fuzzy Logic to Monitor Novel Coronavirus 255 K. Rama Krishna, R. Sudha, G. N. R. Prasad and Jithender Reddy Machana -- 18 Implementation of IoT in Healthcare Barriers and Future Challenges 271 Aravindan Srinivasan, Veeresh Rampur, Munagala Madhu Sudhan Rao and Ravinjit Singh -- References 283 -- Index 287.

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.

Kütüphane	Materyal Türü	Demirbaş Numarası	Yer Numarası	[[missing key: search.ChildField.HOLDING]]	Durumu/İade Tarihi
Çevrimiçi Kütüphane	E-Kitap	598955-1001	R859.7 .F89 A38 2024		Wiley E-Kitap Koleksiyonu