Identifying the Determinants of Infant and Youth Mortality in Portugal: a Machine Learning Approach-Reference-Cited by-同舟云学术

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Identifying the Determinants of Infant and Youth Mortality in Portugal: a Machine Learning Approach

Published:2024-06-30 Issue: Volume: Page:1-9
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Lourenço Beatriz P.¹,Loureiro Miguel Santos¹,Santos Filipe¹,Ventura Rodrigo¹,Magalhães Ricardo¹,Dantas Vera²,Rosa Matilde Valente³,Bárbara Cristina⁴,Sousa João M. C.¹,Vieira Susana M. S.¹

Affiliation:

1. Universidade de Lisboa,IDMEC, Instituto Superior Técnico,Portugal

2. Social Data Lab,Lisboa,Portugal

3. Universidade de Lisboa,Social Data Lab; Instituto de Saúde Ambiental (ISAMB), Faculdade de Medicina,Portugal

4. Universidade de Lisboa,Direção-Geral de Saúde; Instituto de Saúde Ambiental (ISAMB); Unidade Local de Saúde Santa Maria, Laboratório Associado TERRA, Faculdade de Medicina,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651527.pdf?arnumber=10651527

Reference21 articles.

1. Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

2. Child and Adolescent Health From 1990 to 2015

3. Diseases, Injuries, and Risk Factors in Child and Adolescent Health, 1990 to 2017

4. Patterns and trends in causes of child and adolescent mortality 2000–2016: setting the scene for child health redesign

5. Ethnic differences in stillbirth and early neonatal mortality in The Netherlands

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