| 书目名称 | Machine Learning for Critical Internet of Medical Things | | 副标题 | Applications and Use | | 编辑 | Fadi Al-Turjman,Anand Nayyar | | 视频video | | | 概述 | Provides researchers in machine and deep learning with a conceptual understanding.Discusses the role machine learning and IoT play into locating different virus and diseases across the globe.Includes | | 图书封面 |  | | 描述 | This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system..Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas;.Discusses the role machine learning and I | | 出版日期 | Book 2022 | | 关键词 | Machine Learning and Internet of Medical Things; Machine Learning and COVID-19; Machine Learning and E | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-80928-7 | | isbn_softcover | 978-3-030-80930-0 | | isbn_ebook | 978-3-030-80928-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:57:25
