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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822162/
https://www.ncbi.nlm.nih.gov/pubmed/33375101
http://dx.doi.org/10.3390/children8010001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822162/
https://www.ncbi.nlm.nih.gov/pubmed/33375101
http://dx.doi.org/10.3390/children8010001

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