| Title |
Evolving forecasting classifications and applications in health forecasting
|
|---|---|
| Published in |
International Journal of General Medicine, May 2012
|
| DOI | 10.2147/ijgm.s31079 |
| Pubmed ID | |
| Authors |
Ireneous Soyiri, Ireneous Soyiri, Daniel .D. Reidpath |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 68 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 20% |
| Researcher | 9 | 13% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Other | 5 | 7% |
| Other | 13 | 19% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 17% |
| Computer Science | 7 | 10% |
| Medicine and Dentistry | 6 | 9% |
| Decision Sciences | 4 | 6% |
| Social Sciences | 4 | 6% |
| Other | 20 | 29% |
| Unknown | 17 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2012.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from International Journal of General Medicine
#1,076
of 1,627 outputs
Outputs of similar age
#138,037
of 176,069 outputs
Outputs of similar age from International Journal of General Medicine
#17
of 20 outputs
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