Machine learning for preventing stillbirths: is it possible to transform data into life-saving insights?

This application is particularly valuable in the context of social projects, such as those in Brazil, where innovative solutions can contribute to achieving the SDGs offering a unique perspective on the intersection of technology, healthcare, and social impact.

Authors

Institutions

Publication Details

Journal
BMC Pregnancy and Childbirth
Published
2025-09-01
DOI
https://doi.org/10.1186/s12884-025-08028-7
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65

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article

Machine learning for preventing stillbirths: is it possible to transform data into life-saving insights?

Maria Eduarda Ferro de Mello, Patrícia Takako Endo, Élisson da Silva Rocha
1 citations
BMC Pregnancy and Childbirth
Artificial Intelligence in Healthcare and Education
0.65
article

Machine learning for preventing stillbirths: is it possible to transform data into life-saving insights?

Maria Eduarda Ferro de Mello, Patrícia Takako Endo, Élisson da Silva Rocha
article en
1 citations

Abstract

This application is particularly valuable in the context of social projects, such as those in Brazil, where innovative solutions can contribute to achieving the SDGs offering a unique perspective on the intersection of technology, healthcare, and social impact.

BMC Pregnancy and ChildbirthVol. 25(1)
Universidade de Pernambuco (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
0.65
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