Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

<p><em>Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications</em> 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. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector this book demonstrates the depth breadth complexity and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics drug discovery and development medical imaging automation robotic surgery electronic smart records creation outbreak prediction medical image analysis and radiation treatments. </p><p>This book aims to endow different communities with the innovative advances in theory analytical results case studies numerical simulation modeling and computational structuring in the field of ML/DL models for healthcare applications. It will reveal different dimensions of ML/DL applications and will illustrate their use in the solution of assorted real-world biomedical and healthcare problems. </p><p>Features:</p><ul> <ul> <p> </p> <li>Covers the fundamentals of ML and DL in the context of healthcare applications</li> <p> </p> <li>Discusses various data collection approaches from various sources and how to use them in ML/DL models</li> <p> </p> <li>Integrates several aspects of AI-based computational intelligence such as ML and DL from diversified perspectives which describe recent research trends and advanced topics in the field</li> <p> </p> <li>Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics</li> <p> </p> <li>Emphasizes feature selection as an important step in any accurate model simulation where ML/DL methods are used to help train the system and extract the positive solution implicitly</li> </ul> </ul><p>This book is a valuable source of information for researchers scientists healthcare professionals programmers and graduate-level students interested in understanding the applications of ML/DL in healthcare scenarios.</p><p>Dr. Om Prakash Jena is an Assistant Professor in the Department of Computer Science Ravenshaw University Cuttack Odisha India.</p><p>Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology Sharda University Greater Noida India.</p><p>Dr. Utku Kose is an Associate Professor in Suleyman Demirel University Turkey.</p>