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  • Search: subject:"clinical data forecasting"
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Year of publication
Subject
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Support vector regression (SVR) 2 clinical data forecasting 2 empirical mode decomposition (EMD) 2 Emergency department 1 Forecasting model 1 Hospital 1 Krankenhaus 1 Notaufnahme 1 Prognoseverfahren 1 Regression analysis 1 Regressionsanalyse 1 Time series analysis 1 Volatility 1 Volatilität 1 Zeitreihenanalyse 1
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Online availability
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Free 2
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Chueh, Hao-En 1 Chueh, Hao-en 1 Ho, Shun Chuan 1 Ho, Shun-Chuan 1 Ho, Tien-Hwa Ho 1 Ho, Tien-hwa Ho 1 Huang, Deng-Yang 1 Huang, Deng-yang 1 Lin, Jyh-Shyan 1 Lin, Jyh-shyan 1 Liu, Chin-Sung 1 Liu, Chin-sung 1 Wei, Liang-Ying 1 Wei, Liang-ying 1
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Published in...
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International Journal of Management, Economics and Social Sciences (IJMESS) 1 International journal of management, economics and social sciences : IJMESS 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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A hybrid time series model based on AR-EMD and volatility for medical data forecasting: A case study in the emergency department
Wei, Liang-Ying; Huang, Deng-Yang; Ho, Shun-Chuan; Lin, … - In: International Journal of Management, Economics and … 6 (2017) Special Issue, pp. 166-184
Time series methods have been applied to forecast clinical data, such as daily patient number forecasting for emergency medical centers. However, the application of conventional time series models needs to meet the statistical assumptions, and not all models can be applied in all datasets. Most...
Persistent link: https://www.econbiz.de/10011781172
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Cover Image
A hybrid time series model based on AR-EMD and volatility for medical data forecasting : a case study in the emergency department
Wei, Liang-ying; Huang, Deng-yang; Ho, Shun Chuan; Lin, … - In: International journal of management, economics and … 6 (2017), pp. 166-184
Time series methods have been applied to forecast clinical data, such as daily patient number forecasting for emergency medical centers. However, the application of conventional time series models needs to meet the statistical assumptions, and not all models can be applied in all datasets. Most...
Persistent link: https://www.econbiz.de/10011779772
Saved in:
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