Machine Learning Healthcare Systems (171 results)

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Taschenbuch. Condition: Neu. Neuware - Embark on a transformative journey into the world of AI Diagnostics Systems, where the power of Medical AI is revolutionizing healthcare like never before. Authored by Abhay Rajput, this book uncovers the intricacies and immense potential of artificial intelligence in medical diagnostics and decision-making. Imagine a future where diseases are detected early, treatments are customized, and healthcare is more precise and efficient than ever before. Need: As the healthcare industry stands on the brink of a technological evolution, understanding Clinical AI Integration is paramount. This book serves as both a comprehensive guide and an actionable blueprint for healthcare professionals and technology enthusiasts eager to delve into the world of AI Diagnostics Revolution. Uncover how AI in Patient Care elevates clinical workflows, promotes preventive healthcare, and facilitates breakthrough innovations. Value: Aimed at empowering readers with the tools to harness AI Healthcare Solutions, this guide provides profound insights through real-world examples, focusing on Sustainable AI Solutions and AI-Powered Healthcare initiatives. Grasp the complexity of implementing AI Diagnostic Models and integrating them into clinical settings, improving outcomes, and driving forward global health advancements. Additional Benefits: Dive into detailed chapters featuring case studies, ethical considerations, and implementation strategies that ensure Patient Data Security AI and Medical Data Intelligence are at the forefront of innovation. Moreover, Abhay Rajput provides exclusive access to on-demand services outlined within the book, offering personalized guidance to those seeking to make a transformative impact in healthcare with AI. This book is your key to unlocking the unlimited possibilities of Cutting-edge AI Diagnostics and forming a deeper understanding of AI in Oncology Care and other critical areas. For healthcare practitioners, tech developers, and policy makers, AI Diagnostics Systems is more than just a book; it's a commitment to shaping a smart, secure, and sensitive healthcare environment for tomorrow. Whether you are a beginner or a seasoned professional, this guide will inspire and equip you to be at the forefront of this vital technological wave. Embark on this enlightening journey and be part of the pivotal change sweeping through the medical world-setting new standards for healthcare embracing the future of Advanced Medical AI and AI Health Data Insights.…

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Paperback. Condition: New. The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains 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 ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This 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 innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications.FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analyticsThis 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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Taschenbuch. Condition: Neu. Machine Learning and Analytics in Healthcare Systems | Principles and Applications | Himani Bansal (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9780367564865 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu. …

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Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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