Deep Learning-Based Patient Visits Forecasting Using Long Short Term Memory-Reference-Cited by-同舟云学术

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Deep Learning-Based Patient Visits Forecasting Using Long Short Term Memory

Published:2019-03 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT)
language:
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Author:

Karsanti Hayuning Titi,Ardiyanto Igi,Nugroho Lukito Edi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8826088/8834451/08834634.pdf?arnumber=8834634

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Daily Outpatient Volume Using Ensemble Empirical Mode Decomposition and Long-Short Term Memory During the Incident;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19

2. Hospital Out Patient Visit Forecasting using Gated Recurrent Unit;2023 6th International Conference on Information Systems and Computer Networks (ISCON);2023-03-03

3. Predicting hospital emergency department visits with deep learning approaches;Biocybernetics and Biomedical Engineering;2022-07

4. Making the hospital smart: using a deep long short-term memory model to predict hospital performance metrics;Industrial Management & Data Systems;2022-04-01

5. Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods;Machine Learning with Applications;2022-03

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