"A Machine Learning Model for Predicting the Risk of Perinatal Mortality in ..."

Sebastián Arias-Fonseca et al. (2024)

> Home

Details and statistics

DOI: 10.1007/978-3-031-61063-9_16

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/hci/AriasFonsecaBKPMHMLFAH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/hci/AriasFonsecaBKPMHMLFAH24
Sebastián Arias-Fonseca, Miguel Angel Ortiz Barrios, Alexandros Konios, Martha Gutierrez de Piñeres-Jalile, María Montero-Estrada, Carlos Hernández-Lalinde, Eliecer Medina-Pacheco, Fanny Lambraño-Coronado, Ibett Figueroa-Salazar, Jesús Araujo-Torres, Richard Prasca-de la Hoz:
A Machine Learning Model for Predicting the Risk of Perinatal Mortality in Low-and-Middle-Income Countries: A Case Study. HCI (27) 2024: 233-250

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.