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Titlebook: Machine Learning Applications in Medicine and Biology; Ammar Ahmed,Joseph Picone Book 2024 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-21 17:21:05 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning Applications in Medicine and Biology
編輯Ammar Ahmed,Joseph Picone
視頻videohttp://file.papertrans.cn/621/620383/620383.mp4
概述Presents an interdisciplinary look at research trends.Promotes collaboration between practitioners and researchers.Includes tutorials and examples of successful applications
圖書封面Titlebook: Machine Learning Applications in Medicine and Biology;  Ammar Ahmed,Joseph Picone Book 2024 The Editor(s) (if applicable) and The Author(s)
描述.This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the life sciences. Topics covered include:.Signal and image analysis (EEG, ECG, MRI).Machine learning.Data mining and classification.Big data resources.Applications of particular interest at the 2022 symposium included digital pathology, computational biology, and quantum computing. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers in signal processing, medicine, and biology..
出版日期Book 2024
關鍵詞Artificial Intelligence; Bioengineering Applications; Magnetic Resonance Imaging; Machine Learning; Heal
版次1
doihttps://doi.org/10.1007/978-3-031-51893-5
isbn_softcover978-3-031-51895-9
isbn_ebook978-3-031-51893-5
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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Deep Recurrent Architectures for Neonatal Sepsis Detection from Vital Signs Data,very country. It is the primary cause of infant mortality and morbidity in both developed and developing countries. Additionally, it is associated with a higher mortality rate of 30–50% among young adult men and women. Late-onset sepsis corresponds to an infection of the blood stream of a neonate af
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Real-Time ECG Analysis with the ArdMob-ECG: A Comparative Assessment,th monitoring. In this study, we present the implementation and evaluation of the device for the detection of R-peaks with the help of the R-detect function, which provides almost instantaneous feedback to users and interfaces. Real-time feedback and its potential applications for monitoring cardiov
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