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Titlebook: Enabling Person-Centric Healthcare Using Ambient Assistive Technology; Personalized and Pat Paolo Barsocchi,Naga Srinivasu Parvathaneni,Fil

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發(fā)表于 2025-3-21 17:18:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Enabling Person-Centric Healthcare Using Ambient Assistive Technology
副標(biāo)題Personalized and Pat
編輯Paolo Barsocchi,Naga Srinivasu Parvathaneni,Filipp
視頻videohttp://file.papertrans.cn/310/309154/309154.mp4
概述Covers recent research on Person-Centric Healthcare using Ambient Assistive Technology.Focuses on personalized and patient-centric healthcare services.Presents real-time case studies assisting the res
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Enabling Person-Centric Healthcare Using Ambient Assistive Technology; Personalized and Pat Paolo Barsocchi,Naga Srinivasu Parvathaneni,Fil
描述.This book experiences the future of patient-centered healthcare and dives into the latest advancements and transformative technologies that are revolutionizing the well-being of individuals around the globe. The readers can join authors on an engaging journey as the authors explore the captivating realm of ambient assisted living and unlock its immense potential for improving healthcare outcomes.. This book goes beyond mere exploration; it invites readers to embark on a voyage of discovery as authors unveil the outcomes of groundbreaking research ideas. With a diverse range of applications, from deep learning in healthcare to cutting-edge models, the authors offer a comprehensive view of the opportunities and challenges that lie ahead.. Whether you‘re a healthcare professional, an academic seeking the latest insights, or a researcher delving into the realms of ambient assistive technology, biomedical engineering, or computational intelligence, this book is an invaluable resource. Additionally, postgraduate students pursuing data engineering systems find it to be an essential guide.. Each chapter stands independently, providing a comprehensive overview of problem formulation and it
出版日期Book 2023
關(guān)鍵詞Computational Intelligence; Ambient Assistive Technology; Ambient Assistive Living; Person-Centric Heal
版次1
doihttps://doi.org/10.1007/978-3-031-38281-9
isbn_softcover978-3-031-38283-3
isbn_ebook978-3-031-38281-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
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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發(fā)表于 2025-3-21 23:54:03 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/e/image/309154.jpg
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Practical Linux with Raspberry Pi OSaddress this chronic health concern, various treatments such as dietary changes, physical exercise, weight-loss training, and the adoption of health programs promoting a balanced diet are recommended. In order to support obese patients in maintaining a healthy lifestyle, a mobile application called
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Equipment for Column Chromatography, and environments focused on the well-being of society. Consequently, artificial intelligence (AI), the internet of things and extended reality (XR), among other technologies, have the potential to improve people’s quality of life, achieving innovative developments that accompany the daily lives of
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發(fā)表于 2025-3-22 14:26:47 | 只看該作者
The Technique of Thin-Layer Chromatography,copenia is the age-related loss of skeletal muscle mass, strength, and function. It may result in physical impairment, accidents, and a poor quality of life. About 10–20% of individuals over 60 have sarcopenia, and the frequency rises with age. Sarcopenia can substantially negatively influence muscl
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發(fā)表于 2025-3-22 19:36:20 | 只看該作者
Peter Membrey,David Hows,Eelco Plugge and the divergence of inherent features on the way to an aged population results in incorporating unfamiliar provocations to the current habitants from each of two a remunerative and communal perspective. Ambient Assistive Living technology can be able to proffer a bunch of clarifications for refin
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Thinking With Pre-Assigned Tasks learning techniques have been used for heart failure detection in the past few years. This study suggests a novel approach for heart failure detection using a Radial Basis Function (RBF) neural network with Genetic Algorithm (GA) optimization. The suggested approach is applied to the publicly avail
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發(fā)表于 2025-3-23 03:30:07 | 只看該作者
https://doi.org/10.1007/978-1-4615-6065-4tems with ambient assistive technologies (AAT). This chapter focuses on Healthcare management tools and techniques with a major focus on technological innovations and disruptions; services and tools; Recommendation systems in health care; The proposed Autonomous Intelligent Advisory System termed as
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