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Machine learning models for identifying preterm infants at risk of cerebral hemorrhage
Intracerebral hemorrhage in preterm infants is a major cause of brain damage and cerebral palsy. The pathogenesis of cerebral hemorrhage is multifactorial. Among the risk factors are impaired cerebral autoregulation, infections, and coagulation disorders. Machine learning methods allow the identific...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6961932/ https://ncbi.nlm.nih.gov/pubmed/31940391 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227419 |
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