Computational Intelligence in Healthcare : Applications, Challenges, and Management book cover
1st Edition

Computational Intelligence in Healthcare
Applications, Challenges, and Management



  • Available for pre-order. Item will ship after February 10, 2023
ISBN 9781032304939
February 10, 2023 Forthcoming by CRC Press
230 Pages 103 B/W Illustrations

FREE Standard Shipping
USD $129.95

Prices & shipping based on shipping country


Preview

Book Description

Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems, offers great improvement in healthcare system by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the fields of healthcare system by extracting the useful information from the vast amounts of data by applying Human expertise and Computational intelligence (CI) methods such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice.

This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions.

The objective of this book is to provide the latest ongoing research related to healthcare sector to the researchers and engineers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodologies.

Table of Contents

Chapter 1: Introduction to Computational Intelligence in Healthcare: Applications, Challenges & Management
Chander Prabha, Jaspreet Singh, Shweta Agarwal, Amit Verma, Neha Sharma

Chapter 2: Role of IoT and Machine Learning for E-Healthcare Management
Parminder Singh, Nitika, Kusrini

Chapter 3: Tele-Medical and Remote Healthcare Monitoring Using IoT and Machine Learning
Sharad, Kanika Pahwa, Shakeel Ahmed

Chapter 4: Efficient ways for Healthcare Data Management Using Data Science & Machine Learning
Dimple Chehal, Payal Gulati

Chapter 5: A Novel Scheme to Manage E-Healthcare system using Cloud Computing and IoT
Nisha, Meenu Gupta

Chapter 6: Automating Remote Point-of-care ECG Diagnostics via Decentralized Report Routing Algorithm
Bidyut Bikash Borah, Satyabrat Malla Bujar Baruah, Debaraj Kakati and Dr. Soumik Roy

Chapter 7: Evaluation of Deep Image Embedders for Healthcare Informatics Improvement Using Visualized Performance Metrics
Taiwo Olapeju Olaleye, Akinbosoye Olalekan Okewale, Ilesanmi Solanke, Ojumu Victor Alomaja, Olanrewaju Fehintoluwa Adebayo, Segun Michael Akintunde

Chapter 8: A Comparative Analysis for Analyzing the Performance of Convolutional Neural Network with other Machine Learning techniques to Access the Cardiovascular Disease
Harshavardhan Tiwari, Aishwarya M, Harshitha M V, Nida Shafin, Srushti J, Tushita S

Chapter 9: A Study of Machine Learning Initiatives in Global Healthcare Sector using Different Case-studies
Swati Singh

Chapter 10: Autism Spectrum Disorder Diagnostic System using Adaptive Neuro fuzzy Inference System.
Joy Karan Singh, Deepti Kakkar

Chapter 11: Detection of Diabetic Foot Ulcer (DFU) with AlexNet and ResNet-101
Hassana Abubakar, Zubaida Sa’id Ameen, Sinem Alturjman, Auwalu Saleh Mubarak, Fadi Al-Turjman

Chapter 12: A Case-study based Analysis of E-Healthcare System using Artificial Intelligence and Machine Learning
Gokul H, Atharva Deshmukh, Shraddha Jathar, Amit Kumar Tyagi

...
View More

Editor(s)

Biography

Dr. Meenu Gupta is an Associate Professor at the UIE-CSE Department, Chandigarh University, India. She has completed her PhD degree in Computer Science and Engineering with emphasis on Traffic Accident Severity Problems from Ansal University, Gurgaon, India, year 2020. She has more than 13 years of teaching experience. Her areas of research cover the fields of Machine Learning, Intelligent Systems, Data mining, with a specific interest in Artificial Intelligence, Smart Cities, etc. She has edited two books on Healthcare and Cancer diseases and authored four engineering books. She works as a reviewer for several journals including Soft Computing, Big Data, Scientific Report, and etc. She is a life member of ISTE and IAENG. She has authored or co-authored more than 20 book chapters and over 60 papers in refereed international journals and conferences. She has filled 3 Indian patents and awarded with best faculty and researcher of the department in year 2021.

Dr. Shakeel Ahmed is Associate Professor at the College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. His areas of interest include Software Verification and Validation, Mobile AdHoc Networks, Software Engineering, and Cloud Computing. He is the head of the cloud computing research group at the College of Computer Sciences and Information technology, KFU. He has authored several research papers in indexed and impact factor research journals and IEEE international conferences. He is a PC member for several international conferences and an active reviewer for quartile journals. He holds a Ph.D. degree in Computer Science from Indore University, India.

Dr. Rakesh Kumar is a Professor in the Department of Computer Science Engineering at Chandigarh University, Punjab, India. He has done his Ph.D. in Computer Science and Engineering from Punjab Technical University, Jalandhar, year 2017. He has more than 17 years of teaching experience. His research interests are IoT, Machine Learning and Natural Language Processing. He has published many authored books with reputed publisher. He works as a reviewer for several journals including Big Data, CMC, Scientific Report and TSP. He has authored or co-authored more than 50 publications various National, International Conferences and International Journals. He is also working as a PI in AIMS funding project with collaboration of Chandigarh University, Punjab.

Chadi Altrjman is working as an associate scientist and researcher in Near East University, Cyprus and received his Bachelor of Engineering from the University of Waterloo, Ontario, Canada. And now, he is involved in several smart projects via which he is expanding his practical skills. His research interests include AI and machine learning, Wireless Sensor Networks, Chemical Sensors, Sustainable & Renewable Energy Integration, Distributed Power Generation, and Smart Grid Applications.