Resumen
This article proposes a strategy for the refinement of an automatic grouping algorithm belonging to the preventive medicine area of a Public Health Institution to improve the detection of diabetic patients. In particular, a strategy is presented to increase the generation of knowledge through the use of data mining techniques, in which it is proposed to add variables that allow a better description of the group of patients to improve the accuracy of the algorithm.
Título traducido de la contribución | Proposal for the Refinement of a Data Mining Algorithm for Patient Detection |
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Idioma original | Español |
Título de la publicación alojada | Avances de Investigación en Ingeniería en el Estado de Sonora |
Editores | Oscar M. Rodríguez-Elias |
Lugar de publicación | México |
Editorial | Tecnológico Nacional de México |
Páginas | 143-145 |
Número de páginas | 3 |
Volumen | 5 |
Edición | 1 |
Estado | Publicada - 30 nov. 2019 |