Digital Library of Zielona Góra contains 9 272 digital objects
Object
Title: Hospitalization patient forecasting based on multi-task deep learning
Contributor:
Niemiec, Marcin - ed. ; Dziech, Andrzej - ed. ; Wassermann, Jakob - ed.
Subtitle:
Group publication title:
Abstract:
Forecasting the number of hospitalization patients is important for hospital management. The number of hospitalization patients depends on three types of patients, namely, admission patients, discharged patients, and inpatients. However, previous works focused on one type of patients rather than the three types of patients together. In this paper, we propose a multi-task forecasting model to forecast the three types of patients simultaneously. ; We integrate three neural network modules into a unified model for forecasting. Besides, we extract date features of admission and discharged patient flows to improve forecasting accuracy. The algorithm is trained and evaluated on a real-world data set of a one-year daily observation of patient numbers in a hospital. We compare the performance of our model with eight baselines over two real-word data sets. The experimental results show that our approach outperforms other baseline algorithms significantly.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 33, number 1 (2023) ; click here to follow the link
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2023)
Last modified:
Jul 25, 2025
In our library since:
Jul 25, 2025
Number of object content hits:
9
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/101578
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 33, number 1 (2023)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 33, number 2 (2023)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 33, number 3 (2023)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 33, number 4 (2023)
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| Edition name | Date |
|---|---|
| Hospitalization patient forecasting based on multi-task deep learning | Jul 25, 2025 |
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