| 书目名称 | Machine Learning and AI for Healthcare | | 副标题 | Big Data for Improve | | 编辑 | Arjun Panesar | | 视频video | | | 概述 | Offers healthcare professionals a tech jargon-free understanding of the applications of machine learning in healthcare.Covers the ethics of data and learning governance and the hurdles that require ad | | 图书封面 |  | | 描述 | .This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data..The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things..You will understand how machine learning can be | | 出版日期 | Book 2021Latest edition | | 关键词 | Machine Learing; Artificial Intelligence; Healthcare; Big Data; Analytics; Real-Time Series; Deep Learning | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4842-6537-6 | | isbn_softcover | 978-1-4842-6536-9 | | isbn_ebook | 978-1-4842-6537-6 | | copyright | Arjun Panesar 2021 |
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发表于 2025-3-21 17:24:50
