Time series model for forecasting the number of new admission inpatients.

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Time series model for forecasting the number of new admission inpatients.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Time series model for forecasting the number of new admission inpatients.

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Time series model for forecasting the number of new admission inpatients.

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Time series model for forecasting the number of new admission inpatients.

@en

Time series model for forecasting the number of new admission inpatients.

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Time series model for forecasting the number of new admission inpatients.

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Time series model for forecasting the number of new admission inpatients.

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P1476

Time series model for forecasting the number of new admission inpatients

@en

P2093

Cheng Cheng

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Dongdong Wu

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Lingling Zhou

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Ping Zhao

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P2860

Analysis of significant factors for dengue fever incidence prediction

Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans.

Time series analysis of influenza incidence in Chinese provinces from 2004 to 2011

Factors affecting the overcrowding in outpatient healthcare

Application of a new hybrid model with seasonal auto-regressive integrated moving average (ARIMA) and nonlinear auto-regressive neural network (NARNN) in forecasting incidence cases of HFMD in Shenzhen, China.

A hybrid model for predicting the prevalence of schistosomiasis in humans of Qianjiang City, China.

Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada

Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China

Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model.

Patient experience with outpatient encounters at public hospitals in Shanghai: Examining different aspects of physician services and implications of overcrowding

P2888

s12911-018-0616-8

P304

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scholarly article

P356

10.1186/S12911-018-0616-8

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P433

http://www.w3.org/2001/XMLSchema#string

P478

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P50

Hao Huang

P577

2018-06-15T00:00:00Z

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P698

29907102

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P932

6003180

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