English | 2022 | ISBN: ‎ 1032036729 | 397 pages | True PDF | 27.44 MB

The paramountcy of medical informatics is to improve life expectancy, disease diagnosis and quality of life.

Medical devices have revolutionized healthcare and led to the modern age of machine learning, deep learning and internet of medical things (IoMT) with their proliferation, mobility and agility. This book will expose different dimensions of applications for computational intelligence and will explain its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to insure the high quality data processing, medical image and signal analysis, and improved healthcare application. The book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with the innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significance progress in the field of machine learning and deep learning in healthcare applications. This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.



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