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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Dades bibliogràfiques
Publicat a:Children (Basel)
Autors principals: 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
Idioma:Inglês
Publicat: MDPI 2020
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Article
Accés en línia: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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