Unsupervised Learning Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data

Preterm birth (PTB) is a phenomenon that brings risks and challenges for the survival of the newborn child. Despite many advances in research, not all the causes of PTB are already clear. It is understood that PTB risk is multi-factorial and can also be associated with socioeconomic factors. Thereby...

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Hauptverfasser: Márcio L. B. Lopes, Raquel de M. Barbosa, Marcelo A. C. Fernandes
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-05-01
Schriftenreihe:International Journal of Environmental Research and Public Health
Schlagworte:
preterm birth
clustering
unsupervised learning
PTB risk
Brazil
Online Zugang:https://www.mdpi.com/1660-4601/19/9/5596
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