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

• Main Authors: Harpreet Singh (Author), Satoshi Kusuda (Author), Ryan M. McAdams (Author), Shubham Gupta (Author), Jayant Kalra (Author), Ravneet Kaur (Author), Ritu Das (Author), Saket Anand (Author), Ashish Kumar Pandey (Author), Su Jin Cho (Author), Satish Saluja (Author), Justin J. Boutilier (Author), Suchi Saria (Author), Jonathan Palma (Author), Avneet Kaur (Author), Gautam Yadav (Author), Yao Sun (Author)
• Format: Book
• Published: MDPI AG, 2020-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...