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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Veröffentlicht in:Children (Basel)
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2020
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Article
Online Zugang: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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