A Machine Learning Approach for Severe Maternal Morbidity Prediction at Rafael Calvo Clinic in Cartagena-Colombia
There is a huge problem in public health around the world called severe maternal morbidity (SMM). It occurs during pregnancy, delivery, or puerperium. This condition establishes risk for babies and women lives since it’s earlier detection isn’t easy [8]. In order to respond to such a situation, the...
- Autores:
-
Arrieta Rodríguez, Eugenia
López-Martínez, Fernando
Martínez Santos, Juan Carlos
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9379
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9379
- Palabra clave:
- Severe maternal morbidity
Machine learning
Logistic regression
Support Vector Machine
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc/4.0/