Propuesta de Refinamiento de un Algoritmo de Minería de Datos para Detección de Pacientes

Translated title of the contribution: Proposal for the Refinement of a Data Mining Algorithm for Patient Detection

Garcia Mora Omar Fernando*, Federico Cirett-Galán, Raquel Torres-Peralta

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Translated title of the contributionProposal for the Refinement of a Data Mining Algorithm for Patient Detection
Original languageSpanish
Title of host publicationAvances de Investigación en Ingeniería en el Estado de Sonora
EditorsOscar M. Rodríguez-Elias
Place of PublicationMéxico
PublisherTecnológico Nacional de México
Pages143-145
Number of pages3
Volume5
Edition1
StatePublished - 30 Nov 2019

Keywords

  • Data mining
  • Knowledge Discovery
  • K-means
  • Health awareness

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