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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Children (Basel)
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI 2020
Aiheet:
Article
Linkit: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
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia