Cargando…
Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania
BACKGROUND: Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outcomes. We set out to investigate important attributes and train popular machine learning (ML) algorithms to correctly classify neonates with a low Apga...
Autores principales: | Tarimo, Clifford Silver, Bhuyan, Soumitra S., Zhao, Yizhen, Ren, Weicun, Mohammed, Akram, Li, Quanman, Gardner, Marilyn, Mahande, Michael Johnson, Wang, Yuhui, Wu, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976377/ https://www.ncbi.nlm.nih.gov/pubmed/35365129 http://dx.doi.org/10.1186/s12884-022-04534-0 |
Ejemplares similares
-
Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania
por: Tarimo, Clifford Silver, et al.
Publicado: (2021) -
Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania
por: Tarimo, Clifford Silver, et al.
Publicado: (2021) -
Prevalence and risk factors for caesarean delivery following labor induction at a tertiary hospital in North Tanzania: a retrospective cohort study (2000–2015)
por: Tarimo, Clifford Silver, et al.
Publicado: (2020) -
The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China
por: Ren, Weicun, et al.
Publicado: (2021) -
Active commuting and the risk of obesity, hypertension and diabetes: a systematic review and meta-analysis of observational studies
por: Wu, Jian, et al.
Publicado: (2021)