Cargando…
Neonatal mortality prediction with routinely collected data: a machine learning approach
BACKGROUND: Recent decreases in neonatal mortality have been slower than expected for most countries. This study aims to predict the risk of neonatal mortality using only data routinely available from birth records in the largest city of the Americas. METHODS: A probabilistic linkage of every birth...
Autores principales: | Batista, André F. M., Diniz, Carmen S. G., Bonilha, Eliana A., Kawachi, Ichiro, Chiavegatto Filho, Alexandre D. P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293479/ https://www.ncbi.nlm.nih.gov/pubmed/34289819 http://dx.doi.org/10.1186/s12887-021-02788-9 |
Ejemplares similares
-
Predictors of tooth loss: A machine learning approach
por: Elani, Hawazin W., et al.
Publicado: (2021) -
Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach
por: Casaes Teixeira, Bruno, et al.
Publicado: (2023) -
Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning”
por: Chiavegatto Filho, Alexandre, et al.
Publicado: (2021) -
Income inequality is associated with adolescent fertility in Brazil: a longitudinal multilevel analysis of 5,565 municipalities
por: Chiavegatto Filho, Alexandre DP, et al.
Publicado: (2015) -
Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults
por: Schuch, Helena Silveira, et al.
Publicado: (2023)