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Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment Instrument-Home Care: Prospective Observational Study.

Yang YangJohn P HirdesJoel A DubinJoon Lee
Published in: JMIR aging (2019)
 Both wearable data and the RAI-HC assessment can contribute to fall risk classification. All the classification models revealed that RAI-HC outperforms wearable data, and the best performance was achieved with the combination of 2 datasets. Future studies in fall risk assessment should consider using wearable technologies to supplement resident assessment instruments.
Keyphrases
  • deep learning
  • machine learning
  • risk assessment
  • heart rate
  • electronic health record
  • patient safety
  • big data
  • quality improvement
  • patient reported outcomes
  • rna seq
  • climate change