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Titlebook: Rhythms in Healthcare; M. Shamim Kaiser,Mufti Mahmud,Shamim Al Mamun Book 2022 The Editor(s) (if applicable) and The Author(s), under excl

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發(fā)表于 2025-3-21 19:52:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Rhythms in Healthcare
編輯M. Shamim Kaiser,Mufti Mahmud,Shamim Al Mamun
視頻videohttp://file.papertrans.cn/831/830155/830155.mp4
概述Discusses novel methods and algorithms needed to overcome limitations in current rhythmic bio-signals models.Includes modeling and rhythmic biological signals (EEG, EMG, MEG, ECG, and PCG) collected f
叢書名稱Studies in Rhythm Engineering
圖書封面Titlebook: Rhythms in Healthcare;  M. Shamim Kaiser,Mufti Mahmud,Shamim Al Mamun Book 2022 The Editor(s) (if applicable) and The Author(s), under excl
描述This book provides an insightful review and methodological contribution about future healthcare system. It also provides a space for creating and designing techniques for effective sensing, processing, and analysis of patient health situations based on bio-signal processing. Additionally, it discusses novel methods and algorithms which are needed to overcome limitations in current rhythmic bio-signals models. It also discusses solutions and systems needed to efficiently evaluate and process real-time data. The book is useful for wide range of users, including students, research scientists, teachers, and practitioners working in the field of heath informatics, neuroscience, biomedical engineering, and medical image processing and diagnosis..
出版日期Book 2022
關(guān)鍵詞Health Informatics; Biosignals; Time Series Analysis; Machine Learning; Explainable AI; Computational Int
版次1
doihttps://doi.org/10.1007/978-981-19-4189-4
isbn_softcover978-981-19-4191-7
isbn_ebook978-981-19-4189-4Series ISSN 2524-5546 Series E-ISSN 2524-5554
issn_series 2524-5546
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Is Biological Rhythm Associated with the Mortality of COVID-19?, classify COVID-19 mortality rates. The accuracy, recall, precision and F1-score for the ANN model were 63.2, 59.6, 79.1 and 68 percent for the classification of COVID-19 mortality rates. Although the pulmonary symptoms, sociodemographic and biological rhythm had equal importance in the classificati
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