Evaluating how different balancing data techniques impact on prediction of premature birth - Extended Abstract – CTDGSI 2025

Authors

Albérico B. F. da Silva (ORCID: https://orcid.org/0000-0003-2337-1042)
Patrícia Takako Endo (ORCID: https://orcid.org/0000-0002-9163-5583)
Élisson da Silva Rocha (ORCID: https://orcid.org/0000-0002-7742-2995)

Publication Details

Published: 2025-05-07
DOI: https://doi.org/10.5753/sbsi_estendido.2025.246727
Citations: 1
Primary Topic: Neonatal Respiratory Health Research
Type: article
Field-Weighted Citation Impact: 1.52

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article

Evaluating how different balancing data techniques impact on prediction of premature birth - Extended Abstract – CTDGSI 2025

Albérico B. F. da Silva, Patrícia Takako Endo, Élisson da Silva Rocha

May 7, 2025

1 citations

Neonatal Respiratory Health Research

1.52

article

Evaluating how different balancing data techniques impact on prediction of premature birth - Extended Abstract – CTDGSI 2025

Albérico B. F. da Silva, Patrícia Takako Endo, Élisson da Silva Rocha

May 7, 2025article en

1 citations

Abstract

No abstract available for this paper.

Openalex Percentile: Top 19%

Neonatal Respiratory Health Research

1.52

DOI Open Access PDF OpenAlex

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Evaluating how different balancing data techniques impact on prediction of premature birth - Extended Abstract – CTDGSI 2025 — Albérico B. F. da Silva, Patrícia Takako Endo, et al. · (2025) | TGRS Research Map | TGRS