Two-stage learning-based prediction of bronchopulmonary dysplasia in very low birth weight infants: a nationwide cohort study

INTRODUCTION: The aim of this study is to develop an enhanced machine learning-based prediction models for bronchopulmonary dysplasia (BPD) and its severity through a two-stage approach integrated with the duration of respiratory support (RSd) using prenatal and early postnatal variables from a nati...

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Detalles Bibliográficos
Autores principales: Hwang, Jae Kyoon, Kim, Dae Hyun, Na, Jae Yoon, Son, Joonhyuk, Oh, Yoon Ju, Jung, Donggoo, Kim, Chang-Ryul, Kim, Tae Hyun, Park, Hyun-Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294267/
https://www.ncbi.nlm.nih.gov/pubmed/37384307
http://dx.doi.org/10.3389/fped.2023.1155921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294267/
https://www.ncbi.nlm.nih.gov/pubmed/37384307
http://dx.doi.org/10.3389/fped.2023.1155921

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