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Titlebook: Introduction to Nursing Informatics; Pamela Hussey,Margaret Ann Kennedy Textbook 2021Latest edition Springer Nature Switzerland AG 2021 eH

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發(fā)表于 2025-3-28 17:07:41 | 只看該作者
Health Informaticshttp://image.papertrans.cn/i/image/473986.jpg
42#
發(fā)表于 2025-3-28 19:18:06 | 只看該作者
https://doi.org/10.1007/978-3-030-58740-6eHealth; Data privacy; Technology enabled Learning; Mobile Nursing; mHealth; Nursing Informatics; EHRs
43#
發(fā)表于 2025-3-29 00:30:13 | 只看該作者
The Mechanics of Technology and Digital,ader a high level summary of critical components used in conventional computing. Comparisons between computer functionality and human activity such as riding a bike or driving on a motorway are described. Cloud computing is introduced and the example of how mobile technology applications on health and wellbeing can be used is discussed.
44#
發(fā)表于 2025-3-29 05:21:07 | 只看該作者
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發(fā)表于 2025-3-29 10:12:19 | 只看該作者
46#
發(fā)表于 2025-3-29 13:17:35 | 只看該作者
Modern Cognitive Solutions for Advanced Information Processing,tion processing, are characteristic of every human being, and thus transferred to the ground of machine solutions, they offer the possibility of deep, meaningful data analysis. Their distinguishing feature is that they are based on a semantic interpretation based on a linguistic description. The pos
47#
發(fā)表于 2025-3-29 19:23:14 | 只看該作者
48#
發(fā)表于 2025-3-29 22:53:52 | 只看該作者
49#
發(fā)表于 2025-3-30 01:07:01 | 只看該作者
An algorithm for multi-relational discovery of subgroups,discovery. We give a precise definition of the multi-relation subgroup discovery task, propose a specific form of declarative bias based on foreign links as a means of specifying the hypothesis space, and show how propositional evaluation functions can be adapted to the multi-relation setting. We th
50#
發(fā)表于 2025-3-30 05:28:00 | 只看該作者
Evaluating Resistance of MCML Technology to Power Analysis Attacks Using a Simulation-Based Methodology,ented in MCML, in fact, have unique characteristics both in terms of power consumption and the dependency of the power profile from the input signal pattern. Therefore, MCML is suitable to protect cryptographic hardware from Differential Power Analysis and similar side-channel attacks..In order to d
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