Early prediction of severe maternal morbidity using machine learning techniques

Severe Maternal Morbidity is a public health issue. It may occur during pregnancy, delivery, or puerperium due to conditions (hypertensive disorders, hemorrhages, infections and others) that put in risk the women’s or baby’s life. These conditions are really difficult to detect at an early stage. In...

Full description

Autores:

Tipo de recurso:

Fecha de publicación:

2016

Institución:

Universidad Tecnológica de Bolívar

Repositorio:

Repositorio Institucional UTB

Idioma:

eng

OAI Identifier:

oai:repositorio.utb.edu.co:20.500.12585/8999

Acceso en línea:

https://hdl.handle.net/20.500.12585/8999

Palabra clave:

Logistic regression
Machine learning
Severe maternal morbidity
Artificial intelligence
Diseases
Learning algorithms
Obstetrics
Early prediction
Learning models
Logistic regressions
Machine learning techniques
Maternal morbidity
Methods and materials
Pregnant woman
Public health issues
Learning systems

Rights

restrictedAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/