Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study

Our objective in this study was to determine if machine learning (ML) can automatically recognize neonatal manipulations, along with associated changes in physiological parameters. A retrospective observational study was carried out in two Neonatal Intensive Care Units (NICUs) between December 2019...

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Vydáno v:Children (Basel)
Hlavní autoři: Singh, Harpreet, Kusuda, Satoshi, McAdams, Ryan M., Gupta, Shubham, Kalra, Jayant, Kaur, Ravneet, Das, Ritu, Anand, Saket, Pandey, Ashish Kumar, Cho, Su Jin, Saluja, Satish, Boutilier, Justin J., Saria, Suchi, Palma, Jonathan, Kaur, Avneet, Yadav, Gautam, Sun, Yao
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7822162/
https://ncbi.nlm.nih.gov/pubmed/33375101
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/children8010001
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