FORECASTING FREQUENCY OF DELIVERY USING POISSON HIDDEN MARKOV MODELS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GHORBANI GHOLIABAD S.; SADEGHIFAR M.; GHORBANI GHOLIABAD R.; HAMIDI O.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Epidemiology Year:2018 | Volume:14 | Issue:1 Page(s): 74-82

Download Full-Text

Persian Verion

View:

541

Download:

Cites:

Information Journal Paper

Title

FORECASTING FREQUENCY OF DELIVERY USING POISSON HIDDEN MARKOV MODELS

Author(s)

GHORBANI GHOLIABAD S. | SADEGHIFAR M. | GHORBANI GHOLIABAD R. | HAMIDI O. | Issue Writer Certificate

Keywords

DELIVERYQ2

POISSON DISTRIBUTIONQ1

HIDDEN MARKOV MODELQ1

OVER-DISPERSIONQ1

FORECASTQ2

Abstract

Background and Objectives: DELIVERY is one of the most important services in the health systems, and increasing its effectiveness and efficiency are a health priorities. The aim of this study was to FORECAST the number of deliveries in order to design plans for using all facilities to provide patients with better services.Methods: The data used in this study were the number of deliveries per month in Hakim Jorjani Hospital, Gorgan, Iran during the years 2010 to 2016. Due to the OVER-DISPERSION of the data and non-compliance with a POISSON DISTRIBUTION, the Poisson HIDDEN MARKOV MODEL was applied to predict the frequency of monthly deliveries. The model parameters were estimated using the maximum likelihood method and expectation maximization algorithm.Results: The use of the Akaike criteria revealed the frequency of DELIVERY in different months in the hospital followed a Poisson HIDDEN MARKOV MODELs with three hidden states, and the mean POISSON DISTRIBUTION in each component was 193.74, 236.05, and 272.61 labors, respectively.Conclusion: The results of this study showed that government’s encouraging policies have had short-term, limited effects on increasing fertility with minimal effects on the results of the two-year FORECAST.

Cites

No record.

References

Cite

APA: Copy

GHORBANI GHOLIABAD, S., SADEGHIFAR, M., GHORBANI GHOLIABAD, R., & HAMIDI, O.. (2018). FORECASTING FREQUENCY OF DELIVERY USING POISSON HIDDEN MARKOV MODELS. IRANIAN JOURNAL OF EPIDEMIOLOGY, 14(1 ), 74-82. SID. https://sid.ir/paper/120488/en

Vancouver: Copy

GHORBANI GHOLIABAD S., SADEGHIFAR M., GHORBANI GHOLIABAD R., HAMIDI O.. FORECASTING FREQUENCY OF DELIVERY USING POISSON HIDDEN MARKOV MODELS. IRANIAN JOURNAL OF EPIDEMIOLOGY[Internet]. 2018;14(1 ):74-82. Available from: https://sid.ir/paper/120488/en

IEEE: Copy

S. GHORBANI GHOLIABAD, M. SADEGHIFAR, R. GHORBANI GHOLIABAD, and O. HAMIDI, “FORECASTING FREQUENCY OF DELIVERY USING POISSON HIDDEN MARKOV MODELS,” IRANIAN JOURNAL OF EPIDEMIOLOGY, vol. 14, no. 1 , pp. 74–82, 2018, [Online]. Available: https://sid.ir/paper/120488/en

Related Journal Papers