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Evolving forecasting classifications and applications in health forecasting
Health forecasting forewarns the health community about future health situations and disease episodes so that health systems can better allocate resources and manage demand. The tools used for developing and measuring the accuracy and validity of health forecasts commonly are not defined although th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355849/ https://www.ncbi.nlm.nih.gov/pubmed/22615533 http://dx.doi.org/10.2147/IJGM.S31079 |
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author | Soyiri, Ireneous N Reidpath, Daniel D |
author_facet | Soyiri, Ireneous N Reidpath, Daniel D |
author_sort | Soyiri, Ireneous N |
collection | PubMed |
description | Health forecasting forewarns the health community about future health situations and disease episodes so that health systems can better allocate resources and manage demand. The tools used for developing and measuring the accuracy and validity of health forecasts commonly are not defined although they are usually adapted forms of statistical procedures. This review identifies previous typologies used in classifying the forecasting methods commonly used in forecasting health conditions or situations. It then discusses the strengths and weaknesses of these methods and presents the choices available for measuring the accuracy of health-forecasting models, including a note on the discrepancies in the modes of validation. |
format | Online Article Text |
id | pubmed-3355849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33558492012-05-21 Evolving forecasting classifications and applications in health forecasting Soyiri, Ireneous N Reidpath, Daniel D Int J Gen Med Review Health forecasting forewarns the health community about future health situations and disease episodes so that health systems can better allocate resources and manage demand. The tools used for developing and measuring the accuracy and validity of health forecasts commonly are not defined although they are usually adapted forms of statistical procedures. This review identifies previous typologies used in classifying the forecasting methods commonly used in forecasting health conditions or situations. It then discusses the strengths and weaknesses of these methods and presents the choices available for measuring the accuracy of health-forecasting models, including a note on the discrepancies in the modes of validation. Dove Medical Press 2012-05-08 /pmc/articles/PMC3355849/ /pubmed/22615533 http://dx.doi.org/10.2147/IJGM.S31079 Text en © 2012 Soyiri and Reidpath, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited. |
spellingShingle | Review Soyiri, Ireneous N Reidpath, Daniel D Evolving forecasting classifications and applications in health forecasting |
title | Evolving forecasting classifications and applications in health forecasting |
title_full | Evolving forecasting classifications and applications in health forecasting |
title_fullStr | Evolving forecasting classifications and applications in health forecasting |
title_full_unstemmed | Evolving forecasting classifications and applications in health forecasting |
title_short | Evolving forecasting classifications and applications in health forecasting |
title_sort | evolving forecasting classifications and applications in health forecasting |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355849/ https://www.ncbi.nlm.nih.gov/pubmed/22615533 http://dx.doi.org/10.2147/IJGM.S31079 |
work_keys_str_mv | AT soyiriireneousn evolvingforecastingclassificationsandapplicationsinhealthforecasting AT reidpathdanield evolvingforecastingclassificationsandapplicationsinhealthforecasting |