Prediction of daily patient visits in respiratory department using deep learning-Reference-Cited by-同舟云学术

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Prediction of daily patient visits in respiratory department using deep learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Computational Intelligence and Security (CIS)
language:
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Author:

Song Xiaobo¹,Zhang Xinyi²,Wang Xiaoli²,Li Yuan³

Affiliation:

1. The 20th Research Institute of China Electronics Technology Group Corporation,Xi'an,Shaanxi,China,710068

2. School of Computer Science and Technology, Xidian University,Xi'an,Shaanxi,China,710071

3. Xi'an Vocational and Technical College,Basic Course Teaching Department,Xi'an,Shaanxi,China,710077

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10091210/10091169/10091371.pdf?arnumber=10091371

Reference7 articles.

1. Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing

2. Deep learning architecture to predict daily hospital admissions

3. Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study

4. Air Pollution and Hospital Admissions for Respiratory Disease

Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses

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