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Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study
BACKGROUND: Respiratory support is crucial for newborns with underdeveloped lung. The clinical outcomes of patients depend on the clinician’s ability to recognize the status underlying the presented symptoms and signs. With the increasing number of high-risk infants, artificial intelligence (AI) sho...
Autores principales: | Kim, Younga, Kim, Hyeongsub, Choi, Jaewoo, Cho, Kyungjae, Yoo, Dongjoon, Lee, Yeha, Park, Su Jeong, Jeong, Mun Hui, Jeong, Seong Hee, Park, Kyung Hee, Byun, Shin-Yun, Kim, Taehwa, Ahn, Sung-Ho, Cho, Woo Hyun, Lee, Narae |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591351/ https://www.ncbi.nlm.nih.gov/pubmed/37872515 http://dx.doi.org/10.1186/s12887-023-04350-1 |
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