A machine learning model for predicting the risk of perinatal mortality in low-and-middle-income countries: A case study

Perinatal mortality is the death that happens between 22 weeks of gestation and the first seven days of birth. This has become an essential indicator for measuring the quality of maternal and childcare in Low-and-Middle-Income Countries (LMICs). Tools based on Artificial Intelligence (AI) have emerg...

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Autores:

Arias Fonseca, Sebastian
Ortiz Barrios, Miguel Angel
Konios, Alexandros
Gutierrez de Piñeres Jalile, Martha
Montero Estrada, María
Hernández Lalinde, Carlos
Medina Pacheco, Eliecer
Lambraño Coronado, Fanny
Figueroa Salazar, Ibett
Araujo Torres, Jesús
Prasca de la Hoz, Richard

Tipo de recurso:

Conferencia (Ponencia)

Fecha de publicación:

2024

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/14090

Acceso en línea:

https://hdl.handle.net/11323/14090
https://repositorio.cuc.edu.co/

Palabra clave:

Artificial Intelligence (AI)
Healthcare
Low-and-Middle-Income Countries (LMICs)
Perinatal Mortality
Random Forest (RF)

Rights

openAccess

License

Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)