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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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Autor principal: Sato, Renato Cesar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2013
Materias:
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
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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.
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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