Aplicación De Minería De Datos Para Mejorar El Diagnóstico De Un Grupo De Enfermedades Respiratorias En Un Hospital De Trujillo

The present research work had the general objective of improving the diagnosis of a group of respiratory diseases in the CAP III Metropolitan Primary Care Center of Trujillo by implementing a data mining application. A pre-experimental degree investigation was carried out; using data collection tools such as record and observation cards. During the development of the software, the CRISP-DM methodology was used. There was a population of 56 patients, and taking a sample of 19 patients; giving as results after implementation, an increase in the level of morbidity of 4.96%, as well as a decrease in the average to identify the existence of a group of respiratory diseases, in 20 minutes. Also a reduction in the average cost of diagnosis in S / 327.95. Concluding in an improvement in the diagnosis of a group of respiratory diseases in the CAP III Metropolitan Primary Care Center of Trujillo.