Edited
By Utku Kose, Nilgun Sengoz, Xi Chen, Jose Antonio Marmolejo Saucedo
April 23, 2024
This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications. Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI ...
Edited
By Moolchand Sharma, Suman Deswal, Umesh Gupta, Mujahid Tabassum, Isah Lawal
December 20, 2023
This book provides an examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles of various techniques. Soft Computing Techniques in Connected Healthcare Systems presents soft computing techniques and ...
Edited
By D. Hemanth, Meenu Gupta
October 23, 2023
The main focus of this book is the examination of women’s health issues and the role machine learning can play as a solution to these challenges. This book will illustrate advanced, innovative techniques/frameworks/concepts/machine learning methodologies, enhancing the future healthcare system. ...
Edited
By Swati V. Shinde, Varsha Bendre, D. Jude Hemanth, M.A. Balafar
September 29, 2023
This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied...
By K. Shankar, Eswaran Perumal, Deepak Gupta
September 25, 2023
This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging...
By V. Rajinikanth, K. Kamalanand, C. Emmanuel, B. Thayumanavan
September 25, 2023
The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized ...
By A. Bakiya, K. Kamalanand, R. L. J. De Britto
September 25, 2023
The aim of Mechano-Electric Correlations in the Human Physiological System is to present the mechanical and electrical properties of human soft tissues and the mathematical models related to the evaluation of these properties in time, as well as their biomedical applications. This book also ...
Edited
By Deepak Gupta, Moolchand Sharma, Vikas Chaudhary, Ashish Khanna
September 25, 2023
New prospects for biomedical and healthcare engineering are being created by the rapid development of Robotic and Artificial Intelligence techniques. Innovative technologies such as Artificial Intelligence, Deep Learning, Robotics, and IoT are currently under huge influence in today’s modern world....
Edited
By Om Prakash Jena, Bharat Bhushan, Utku Kose
February 25, 2022
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms....