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dc.contributor.authorCubillas, Juan José
dc.contributor.authorRamos, Maria I.
dc.contributor.authorFeito, F.R.
dc.date2022
dc.date.accessioned2023-05-19T09:44:18Z
dc.date.available2023-05-19T09:44:18Z
dc.identifier.citationCubillas, J. J., Ramos, M. I., & Feito, F. R. (2022). Use of Data Mining to Predict the Influx of Patients to Primary Healthcare Centres and Construction of an Expert System. Applied Sciences, 12(22), 11453. MDPI AG. Retrieved from http://dx.doi.org/10.3390/app122211453es_ES
dc.identifier.issn2076-3417
dc.identifier.urihttps://reunir.unir.net/handle/123456789/14704
dc.description.abstractIn any productive sector, predictive tools are crucial for optimal management and decision-making. In the health sector, it is especially important to have information available in advance, as this not only means optimizing resources, but also improving patient care. This work focuses on the management of healthcare resources in primary care centres. The main objective of this work is to develop a model capable of predicting the number of patients who will demand health care in a primary care centre on a daily basis. This model is integrated into a decision support system that is accessible and easy to use by the manager through a web application. In this case, data from a primary care centre in the city of Jaén, Spain, were used. The model was estimated using spatial-temporal training data, the daily health demand data in that centre for five years, and a series of meteorological data. Different regression algorithms have been employed. The workflow requires selecting the parameters that influence the health demand prediction and discarding those that distort the model. The main contribution of this research is the daily prediction of the number of patients attending the health centre with absolute errors better than 3%, which is crucial for decision-making on the sizing of health resources in a primary care health centre.es_ES
dc.language.isoenges_ES
dc.publisherApplied Sciences (Switzerland)es_ES
dc.relation.ispartofseries;vol. 12, nº 22
dc.relation.urihttps://www.mdpi.com/2076-3417/12/22/11453es_ES
dc.rightsopenAccesses_ES
dc.subjectdata mininges_ES
dc.subjectexpert systemes_ES
dc.subjectprimary health carees_ES
dc.subjectresource optimizationes_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleUse of Data Mining to Predict the Influx of Patients to Primary Healthcare Centres and Construction of an Expert Systemes_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.3390/app122211453


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