Evolving forecasting classifications and applications in health forecasting

dc.contributor.authorSoyiri, Ireneous N.
dc.contributor.authorReidpath, Daniel D.
dc.date.accessioned2013-06-17T15:54:17Z
dc.date.accessioned2017-10-16T12:21:30Z
dc.date.available2013-06-17T15:54:17Z
dc.date.available2017-10-16T12:21:30Z
dc.date.issued2012
dc.description.abstractHealth 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.en_US
dc.identifier.citationSoyiri, I. N., & Reidpath, D. D. (2012). Evolving forecasting classifications and applications in health forecasting. International Journal of General Medicine, 5, 381-389.en_US
dc.identifier.urihttp://197.255.68.203/handle/123456789/3330
dc.language.isoenen_US
dc.publisherInternational Journal of General Medicine,en_US
dc.subjecthealth forecast, health data, electronic health records, accuracy, cross validation, method, strengths and limitationsen_US
dc.titleEvolving forecasting classifications and applications in health forecastingen_US
dc.typeArticleen_US

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