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Disease management with ARIMA model in time series
The evaluation of infectious and noninfectious disease management can be done through the use of a time series analysis. In this study, we expect to measure the results and prevent intervention effects on the disease. Clinical studies have benefited from the use of these techniques, particularly for...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Instituto Israelita de Ensino e Pesquisa Albert Einstein
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872983/ https://www.ncbi.nlm.nih.gov/pubmed/23579758 http://dx.doi.org/10.1590/S1679-45082013000100024 |
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author | Sato, Renato Cesar |
author_facet | Sato, Renato Cesar |
author_sort | Sato, Renato Cesar |
collection | PubMed |
description | The evaluation of infectious and noninfectious disease management can be done through the use of a time series analysis. In this study, we expect to measure the results and prevent intervention effects on the disease. Clinical studies have benefited from the use of these techniques, particularly for the wide applicability of the ARIMA model. This study briefly presents the process of using the ARIMA model. This analytical tool offers a great contribution for researchers and healthcare managers in the evaluation of healthcare interventions in specific populations. |
format | Online Article Text |
id | pubmed-4872983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Instituto Israelita de Ensino e Pesquisa Albert Einstein |
record_format | MEDLINE/PubMed |
spelling | pubmed-48729832016-08-10 Disease management with ARIMA model in time series Sato, Renato Cesar Einstein (Sao Paulo) Reviewing Basic Sciences The evaluation of infectious and noninfectious disease management can be done through the use of a time series analysis. In this study, we expect to measure the results and prevent intervention effects on the disease. Clinical studies have benefited from the use of these techniques, particularly for the wide applicability of the ARIMA model. This study briefly presents the process of using the ARIMA model. This analytical tool offers a great contribution for researchers and healthcare managers in the evaluation of healthcare interventions in specific populations. Instituto Israelita de Ensino e Pesquisa Albert Einstein 2013 /pmc/articles/PMC4872983/ /pubmed/23579758 http://dx.doi.org/10.1590/S1679-45082013000100024 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviewing Basic Sciences Sato, Renato Cesar Disease management with ARIMA model in time series |
title | Disease management with ARIMA model in time series |
title_full | Disease management with ARIMA model in time series |
title_fullStr | Disease management with ARIMA model in time series |
title_full_unstemmed | Disease management with ARIMA model in time series |
title_short | Disease management with ARIMA model in time series |
title_sort | disease management with arima model in time series |
topic | Reviewing Basic Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872983/ https://www.ncbi.nlm.nih.gov/pubmed/23579758 http://dx.doi.org/10.1590/S1679-45082013000100024 |
work_keys_str_mv | AT satorenatocesar diseasemanagementwitharimamodelintimeseries |