Medical decision support using machine learning for early detection of late-onset neonatal sepsis

OBJECTIVE: The objective was to develop non-invasive predictive models for late-onset neonatal sepsis from off-the-shelf medical data and electronic medical records (EMR). DESIGN: The data used in this study are from 299 infants admitted to the neonatal intensive care unit in the Monroe Carell Jr. C...

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Библиографические подробности
Главные авторы: Mani, Subramani, Ozdas, Asli, Aliferis, Constantin, Varol, Huseyin Atakan, Chen, Qingxia, Carnevale, Randy, Chen, Yukun, Romano-Keeler, Joann, Nian, Hui, Weitkamp, Jörn-Hendrik
Формат: Artigo
Язык:Inglês
Опубликовано: BMJ Publishing Group 2014
Предметы:
Research and Applications
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3932458/
https://ncbi.nlm.nih.gov/pubmed/24043317
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001854
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