Data Mining and Endocrine Diseases: A New Way to Classify?


Abstract:

Data mining consists of using large database analysis to detect patterns, relationships and models in order to describe (or even predict) the appearance of a future event; to accomplish this, it uses classification methods, rules of association, regression patterns, link and cluster analyses. Recently this approach has been used to propose a new diabetes mellitus classification, using information analysis techniques through which the selection bias minimally influences categorization, this new focus that includes data mining previously implemented to predict, identify biomarkers, complications, therapies, health policies, genetic and environmental effects of this disease; it could be generalized in the field of endocrinology, in the classification of other endocrine diseases.

Año de publicación:

2018

Keywords:

  • Information analysis
  • Endocrine disease
  • classification
  • diabetes mellitus
  • Data Mining

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Diabetes
  • Minería de datos

Áreas temáticas de Dewey:

  • Enfermedades
  • Programación informática, programas, datos, seguridad
  • Medicina y salud
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

    Procesado con IAProcesado con IA