Multiclassification Models Applied to Medical Diagnoses Registered by the Ministry of Public Health in Ecuador


Abstract:

The database of the Ministry of Public Health of Ecuador contains valuable information that can potentially be used to learn about the performance of the application of procedures concerning medical diagnoses. Considering that each element of the database corresponding to a patient is classified according to multiple labels, multilabel classification methods are applied in this research. The calculations are made using MEKA, a software that supports the implementation of this kind of method. The goal of this paper is comparing the different multilabel classification methods to select the most appropriate one(s) in the context of Ecuadorian public health, particularly in diagnosis, and to obtain rules to associate every diagnosis with a corresponding procedure.

Año de publicación:

2022

Keywords:

  • Multilabel
  • Multiclassification model
  • medical diagnosis

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Cuidado de la salud
  • Aprendizaje automático

Áreas temáticas de Dewey:

  • Medicina y salud
  • Enfermedades
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 3: Salud y bienestar
  • ODS 17: Alianzas para lograr los objetivos
  • ODS 9: Industria, innovación e infraestructura
Procesado con IAProcesado con IA