Framework to predict the metabolic syndrome without doing a blood test: based on machine learning for a clinical decision support system
Metabolic Syndrome (MetS) is a cluster of risk factors that increase the likelihood of heart disease and diabetes mellitus, and researchers have recently linked it to worse outcomes for the novel Covid-19 disease. It is crucial to get diagnosed with time to take preventive measures, especially for p...
- Autores:
-
Barrios Barrios, Mauricio Andrés
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2021
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- eng
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/11004
- Acceso en línea:
- http://hdl.handle.net/10584/11004
- Palabra clave:
- Metabolic syndrome
Sangre - Análisis
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/