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

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书目名称Applications of Intelligent Technologies in Healthcare影响因子(影响力)




书目名称Applications of Intelligent Technologies in Healthcare影响因子(影响力)学科排名




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书目名称Applications of Intelligent Technologies in Healthcare网络公开度学科排名




书目名称Applications of Intelligent Technologies in Healthcare被引频次




书目名称Applications of Intelligent Technologies in Healthcare被引频次学科排名




书目名称Applications of Intelligent Technologies in Healthcare年度引用




书目名称Applications of Intelligent Technologies in Healthcare年度引用学科排名




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书目名称Applications of Intelligent Technologies in Healthcare读者反馈学科排名

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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.