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Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit
OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learning models to predict these values for individual patients throughout their PICU episode. METHODS: EMR data from 7256 survivor PICU episodes (5632 patients) collected between 2009 and 2017 at Children’...
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| 出版年: | J Am Med Inform Assoc |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647156/ https://ncbi.nlm.nih.gov/pubmed/30295770 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocy122 |
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