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Titlebook: Explainable Machine Learning for Multimedia Based Healthcare Applications; M. Shamim Hossain,Utku Kose,Deepak Gupta Book 2023 The Editor(s

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書目名稱Explainable Machine Learning for Multimedia Based Healthcare Applications
編輯M. Shamim Hossain,Utku Kose,Deepak Gupta
視頻videohttp://file.papertrans.cn/320/319299/319299.mp4
概述The book gives a very recent view on multimedia healthcare data and use of Explainable Machine Learning (XAI).The book provides both essential knowledge and technical details for understanding the tar
圖書封面Titlebook: Explainable Machine Learning for Multimedia Based Healthcare Applications;  M. Shamim Hossain,Utku Kose,Deepak Gupta Book 2023 The Editor(s
描述This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing..
出版日期Book 2023
關鍵詞machine learning; deep learning; multimedia; artificial intelligence; interpretable machine learning; exp
版次1
doihttps://doi.org/10.1007/978-3-031-38036-5
isbn_softcover978-3-031-38038-9
isbn_ebook978-3-031-38036-5
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Merril Silverstein,Roseann Giarrussoartificial intelligence have played an important role in medicinal field in recent years. This study was conducted as a specific systematic literature review. Systematic research is a scientific synthesis that uses methods to identify and evaluate studies on the subject. The data part of the researc
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https://doi.org/10.1007/978-3-540-31211-6xpose symptoms for COVID-19 diagnosis and forecasting and integrated comprehension of huge AI and ML continue to be challenges. As a result, the development and use of the Explainable Artificial Intelligence (XAI) concept provides a solution in these responses, where rule-based approaches are ideall
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G. N. Tiwari,Arvind Tiwari,Shyam the research field to handle those issues. It also presents the evaluation of the heart rate and other health vitals measuring tools present in the commercial market and compares the performance of these tools against a standard health monitoring device. Two commercially available applications Well
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