Clasificador de perfiles de tratamientos de Diabetes Tipo 2 e Hipertensión Arterial utilizando métodos de recuperación vectorial de información: Caso IPS UNIPAMPLONA/Classifier of profiles of Type 2 Diabetes and Hypertension treatments using vector information retrieval methods: UNIPAMPLONA IPS Case

The objective of this research is to propose a model to determine the pathological profile of a patient depending on the pharmaceutical treatment used and assigned by IPS Unipamplona determining drug use more often, using vector information retrieval method. The methodology used is the recovery of vector information (RIV) and is organized in two phases; the first takes the need for information, making the request and this becomes a search statement. In the second stored information is represented and indexed in some way. The result was an error of 8% where it did not coincide with the diagnosed disease, the information was compiled and parameterized so that later the logical design could be used with another model. The proposed model can be applied in other sectors.