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http://dx.doi.org/10.13067/JKIECS.2021.16.2.313

Time Series Data Processing Deep Learning system for Prediction of Hospital Outpatient Number  

Jo, Jun-Mo (Dept. Electronic Engineering, TongMyong University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.16, no.2, 2021 , pp. 313-318 More about this Journal
Abstract
The advent of the Deep Learning has applied to many industrial and general applications having an impact on our lives these days. Certain type of machine learning model is needed to be designed for a specific problem of field. Recently, there are many instances to solve the various COVID-19 related problems using deep learning model. Therefore, in this paper, a deep learning model for predicting number of outpatients of a hospital in advance is suggested. The suggested deep learning model is designed by using the Keras in Jupyter Notebook. The prediction result is being analyzed with the real data in graph, as well as the loss rate with some validation data to verify either for the underfitting or the overfitting.
Keywords
Deep Learning; Time Series Data Processing; Performance Evaluation;
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