Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models.
<h4>Background</h4>Reasonable and accurate forecasting of outpatient visits helps hospital managers optimize the allocation of medical resources, facilitates fine hospital management, and is of great significance in improving hospital efficiency and treatment capacity.<h4>Methods&l...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0290541 |
| _version_ | 1797671849124954112 |
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| author | Yijia Wang Xianglong Yi Mei Luo Zhe Wang Long Qin Xijian Hu Kai Wang |
| author_facet | Yijia Wang Xianglong Yi Mei Luo Zhe Wang Long Qin Xijian Hu Kai Wang |
| author_sort | Yijia Wang |
| collection | DOAJ |
| description | <h4>Background</h4>Reasonable and accurate forecasting of outpatient visits helps hospital managers optimize the allocation of medical resources, facilitates fine hospital management, and is of great significance in improving hospital efficiency and treatment capacity.<h4>Methods</h4>Based on conjunctivitis outpatient data from the First Affiliated Hospital of Xinjiang Medical University Ophthalmology from 2017/1/1 to 2019/12/31, this paper built and evaluated Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for outpatient visits prediction.<h4>Results</h4>In predicting the number of conjunctivitis visits over the next 31 days, the LSTM model had a root mean square error (RMSE) of 2.86 and a mean absolute error (MAE) of 2.39, the GRU model has an RMSE of 2.60 and an MAE of 1.99.<h4>Conclusions</h4>The GRU method can better predict trends in hospital outpatient flow over time, thus providing decision support for medical staff and outpatient management. |
| first_indexed | 2024-03-11T21:21:27Z |
| format | Article |
| id | doaj.art-02fb1640c806487ea57a6fbd0c27e9df |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-11T21:21:27Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-02fb1640c806487ea57a6fbd0c27e9df2023-09-28T05:31:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01189e029054110.1371/journal.pone.0290541Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models.Yijia WangXianglong YiMei LuoZhe WangLong QinXijian HuKai Wang<h4>Background</h4>Reasonable and accurate forecasting of outpatient visits helps hospital managers optimize the allocation of medical resources, facilitates fine hospital management, and is of great significance in improving hospital efficiency and treatment capacity.<h4>Methods</h4>Based on conjunctivitis outpatient data from the First Affiliated Hospital of Xinjiang Medical University Ophthalmology from 2017/1/1 to 2019/12/31, this paper built and evaluated Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for outpatient visits prediction.<h4>Results</h4>In predicting the number of conjunctivitis visits over the next 31 days, the LSTM model had a root mean square error (RMSE) of 2.86 and a mean absolute error (MAE) of 2.39, the GRU model has an RMSE of 2.60 and an MAE of 1.99.<h4>Conclusions</h4>The GRU method can better predict trends in hospital outpatient flow over time, thus providing decision support for medical staff and outpatient management.https://doi.org/10.1371/journal.pone.0290541 |
| spellingShingle | Yijia Wang Xianglong Yi Mei Luo Zhe Wang Long Qin Xijian Hu Kai Wang Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models. PLoS ONE |
| title | Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models. |
| title_full | Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models. |
| title_fullStr | Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models. |
| title_full_unstemmed | Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models. |
| title_short | Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models. |
| title_sort | prediction of outpatients with conjunctivitis in xinjiang based on lstm and gru models |
| url | https://doi.org/10.1371/journal.pone.0290541 |
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