{"product_id":"machine-learning-and-deep-learning-in-medical-data-analytics-and-healthcare-applications-9781032127644","title":"Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications","description":"\u003cp\u003e • Author(s): Om Prakash Jena\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Biomedical\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eMachine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications\u003c\/em\u003e 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. \u003c\/p\u003e\u003cp\u003eThis 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. \u003c\/p\u003e\u003cp\u003eFeatures: \u003c\/p\u003e\u003cul\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eCovers the fundamentals of ML and DL in the context of healthcare applications\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDiscusses various data collection approaches from various sources and how to use them in ML\/DL models\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eIntegrates 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\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eExplores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eEmphasizes 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\u003c\/li\u003e \u003c\/ul\u003e \u003c\/ul\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eDr. Om Prakash Jena is an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India.\u003c\/p\u003e\u003cp\u003eDr. 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.\u003c\/p\u003e\u003cp\u003eDr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Paperback","offer_id":45243454226583,"sku":"9781032127644","price":4411.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032127644.webp?v=1769234783","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-and-deep-learning-in-medical-data-analytics-and-healthcare-applications-9781032127644","provider":"Atlantic Books","version":"1.0","type":"link"}