A Deep Neural Network Based Non-linear Ensemble Framework for Time Series Forecasting of Emergency Department Patients Visits
碩士 === 輔仁大學 === 資訊管理學系碩士班 === 107 === Due to the convenience of medical treatment and the provision of National Health Insurance in Taiwan, there are often problems in which emergency department are often and emergency overcrowding occurs. This research will use the historical emergency visits data...
Main Authors: | CHEN, LI-AN, 陳立安 |
---|---|
Other Authors: | CHEN, TZU-LI |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/6cbgrb |
Similar Items
-
A stacked ensemble method for forecasting influenza-like illness visit volumes at emergency departments.
by: Arthur Novaes de Amorim, et al.
Published: (2021-01-01) -
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series
by: Ioannis E. Livieris, et al.
Published: (2020-05-01) -
AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures
by: Shruti Kaushik, et al.
Published: (2020-03-01) -
A Combination of Linear Regression Analysis and Neural Networks for Fitting and Forecasting Financial Time Series
by: Chao, Kuo-An, et al.
Published: (1998) -
Forecasting the volatility of Financial Time Series by Tree Ensembles
by: O. S. Vidmant
Published: (2019-06-01)