Machine learning healthcare systems (37 Ergebnisse)

Taschenbuch. Zustand: 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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Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 274 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 395 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Zustand: 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. …

Hardcover. Zustand: 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.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

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Zustand: New.

Zustand: New. 356 pages, illustrations black and white, and colour.

Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 457 pages. 9.25x6.25x1.00 inches. In Stock.

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Zustand: New. Inhaltsverzeichnisrnrnn Chapter 1: Blockchain technology and its relevance in healthcaren Chapter 2: Privacy issues in blockchainn Chapter 3: Reforming the traditional business networkn Chapter 4: A deep dive i.

Buch. Zustand: Neu. Neuware - Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.…