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Titlebook: Understanding Hospitals in Changing Health Systems; Antonio Durán,Stephen Wright Book 2020 The Editor(s) (if applicable) and The Author(s)

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11#
發(fā)表于 2025-3-23 11:41:12 | 只看該作者
in the complex and contentious field of hospital development.”.Jonathan Erskine, European Health Property Network, Netherlands.This book seeks to reframe current policy discussions on hospitals. Healthcare ser978-3-030-28174-8978-3-030-28172-4
12#
發(fā)表于 2025-3-23 14:32:40 | 只看該作者
13#
發(fā)表于 2025-3-23 19:16:29 | 只看該作者
14#
發(fā)表于 2025-3-24 01:43:04 | 只看該作者
Patrick Jeurissen,Hans Maarseel coordinates plots in the future. More artificial intelligence factors will be introduced, and a truly efficient and intuitive data visualization interfaces will be developed to intelligently visualize and analyze high-dimensional data.
15#
發(fā)表于 2025-3-24 03:13:13 | 只看該作者
Antonio Durán,Stephen Wright,Paolo Belli,Tata Chanturidze,Patrick Jeurissen,Richard B. Saltmanas high accuracy and is capable of managing PHR effectively. Additionally, it has been shown to have a high practical value when it comes to meeting the accuracy and real-time requirements of BT and BD applications.
16#
發(fā)表于 2025-3-24 08:24:14 | 只看該作者
Stephen Wright,Antonio Durántive with respect to confusion matrix, accuracy, and precision. It is realized that CNN outperformed all other classifiers and achieved the highest accuracy (0.982456). The work is implemented in the VSCode environment based on Python programing language.
17#
發(fā)表于 2025-3-24 12:12:26 | 只看該作者
is then used for data analysis for making predications in various domains. The optimum path is the path which takes the least travel time with least fuel consumption. The personalized intelligent system assists travelers with the optimum path using the PrefixSpan algorithm.
18#
發(fā)表于 2025-3-24 18:44:23 | 只看該作者
19#
發(fā)表于 2025-3-24 20:43:57 | 只看該作者
20#
發(fā)表于 2025-3-25 02:17:40 | 只看該作者
Richard B. Saltman,Tata Chanturidze information in the COVID19 statistical datasets. The OntoCOVID is evaluated to demonstrate its completeness and information retrieval for different use-case scenarios. The results obtained are promising and advocate for the improved ontological design and applications of the OntoCOVID.
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