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Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model
In order to effectively improve the efficiency of hospital public management, we designed a hospital management index system based on deep learning model and analysed the application effect of reverse broadcast neural network model in hospital. The results show that in the performance analysis of th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068311/ https://www.ncbi.nlm.nih.gov/pubmed/35528337 http://dx.doi.org/10.1155/2022/8507288 |
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author | Li, Jinai Wang, Yan |
author_facet | Li, Jinai Wang, Yan |
author_sort | Li, Jinai |
collection | PubMed |
description | In order to effectively improve the efficiency of hospital public management, we designed a hospital management index system based on deep learning model and analysed the application effect of reverse broadcast neural network model in hospital. The results show that in the performance analysis of the model, compared with other classical algorithms, the constructed model has the highest accuracy and the shortest delay. The weight analysis of each index in the model shows that the weight of rational utilization rate of beds in tertiary public hospitals is the highest, and the weight of rational utilization rate of beds in secondary public hospitals is the highest. The further analysis of the model training effect shows that the actual value of most output indexes is consistent with the predicted value, and the residual error of the predicted value is close to 0. |
format | Online Article Text |
id | pubmed-9068311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90683112022-05-05 Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model Li, Jinai Wang, Yan Comput Intell Neurosci Research Article In order to effectively improve the efficiency of hospital public management, we designed a hospital management index system based on deep learning model and analysed the application effect of reverse broadcast neural network model in hospital. The results show that in the performance analysis of the model, compared with other classical algorithms, the constructed model has the highest accuracy and the shortest delay. The weight analysis of each index in the model shows that the weight of rational utilization rate of beds in tertiary public hospitals is the highest, and the weight of rational utilization rate of beds in secondary public hospitals is the highest. The further analysis of the model training effect shows that the actual value of most output indexes is consistent with the predicted value, and the residual error of the predicted value is close to 0. Hindawi 2022-04-27 /pmc/articles/PMC9068311/ /pubmed/35528337 http://dx.doi.org/10.1155/2022/8507288 Text en Copyright © 2022 Jinai Li and Yan Wang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Jinai Wang, Yan Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model |
title | Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model |
title_full | Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model |
title_fullStr | Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model |
title_full_unstemmed | Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model |
title_short | Index Evaluation of Different Hospital Management Modes Based on Deep Learning Model |
title_sort | index evaluation of different hospital management modes based on deep learning model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068311/ https://www.ncbi.nlm.nih.gov/pubmed/35528337 http://dx.doi.org/10.1155/2022/8507288 |
work_keys_str_mv | AT lijinai indexevaluationofdifferenthospitalmanagementmodesbasedondeeplearningmodel AT wangyan indexevaluationofdifferenthospitalmanagementmodesbasedondeeplearningmodel |