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Titlebook: Applications of Intelligent Technologies in Healthcare; Fazlullah Khan,Mian Ahmad Jan,Muhammad Alam Book 2019 Springer Nature Switzerland

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發(fā)表于 2025-3-21 18:32:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applications of Intelligent Technologies in Healthcare
影響因子2023Fazlullah Khan,Mian Ahmad Jan,Muhammad Alam
視頻videohttp://file.papertrans.cn/160/159469/159469.mp4
發(fā)行地址Covers the most recent practices in health related topics from a communications technology perspective.Focuses on advances in communications technology -- from IoT, to big data, to wireless networks -
學(xué)科分類EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Applications of Intelligent Technologies in Healthcare;  Fazlullah Khan,Mian Ahmad Jan,Muhammad Alam Book 2019 Springer Nature Switzerland
影響因子This book covers topics related to medical practices from communications technology point of view. The book provides detailed inside information about the use of health informatics and emerging technologies for the well-being of patients. Each chapter in this book focuses on a specific development in the use of informatics in healthcare. In general, each chapter uses various emerging technologies such as Internet of Things (IoT), Big Data, Cloud computing, Wireless Body Area Networks (WBAN), for various health-related illness, such as tuberculosis, heart diseases, asthma and various epidemic outbreaks. The book is intended both for communications engineers with a healthcare focus and medical researchers. ?.
Pindex Book 2019
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2522-8595 technology -- from IoT, to big data, to wireless networks -This book covers topics related to medical practices from communications technology point of view. The book provides detailed inside information about the use of health informatics and emerging technologies for the well-being of patients. E
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Charles H. Fletcher,Eden J. Feirsteind-keeping. The recent technological developments have motivated healthcare organization to adopt data-centric models and architectures. This paper is a survey of existing research work from 2014 to 2017 and presents the characteristics, tools and techniques, challenges and limitations and architecture of the Big Data in healthcare.
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Classification of Normal Heart Beats Using Spectral and Nonspectral Features for Phonocardiography ied out on a publicly available dataset, and the system performance on individual as well as combined features is studied with and without the application of principal component analysis (PCA). An average classification rate of around 84% is reported, and high classification rates are maintained by using only a small proportion of the feature set.
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A Privacy Risk Assessment for the Internet of Things in Healthcare,erous domains. This paper briefly highlights the promising applications of IoT in healthcare. The privacy challenges, risks, and vulnerabilities posed by the diversity and heterogeneity of communications in the IoT are then identified, followed by a privacy risk assessment.
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Alexy, Robert: Philosophy of Lawe region parameters. Performance is evaluated by Dice coefficient. Dice coefficient is used to measure the similarity between manual and segmented mask. Experimental results of proposed methodology state the accuracy of 92.19%. It is observed that all the cases obtain the score more than 0.88 which is sufficient to detect lung region efficiently.
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