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Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study.

Hung-Hsun ChenHenry Horng-Shing LuWei-Hung WengYu-Hsuan Lin
Published in: Journal of medical Internet research (2023)
Our novel approach, the probability in work mode, harnessed human-smartphone interaction patterns and machine learning models to enhance the precision and accuracy of work hour investigation. By integrating human-smartphone interactions and GPS data, our method provides valuable insights into work patterns, including remote work and breaks, offering potential applications in optimizing work productivity and well-being.
Keyphrases
  • machine learning
  • endothelial cells
  • induced pluripotent stem cells
  • deep learning
  • pluripotent stem cells
  • big data
  • artificial intelligence
  • healthcare
  • blood pressure
  • risk assessment
  • human health