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:
scopus
googleTipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Cuidado de la salud
- Aprendizaje automático
Áreas temáticas de Dewey:
- Medicina y salud
- Enfermedades
Objetivos de Desarrollo Sostenible:
- ODS 3: Salud y bienestar
- ODS 17: Alianzas para lograr los objetivos
- ODS 9: Industria, innovación e infraestructura