Co-Design of a Patient Fall Risk Prevention Service Powered by Machine Learning
Author:
Affiliation:
1. University of Siena, Italy
2. Centro Chirurgico Toscano Arezzo, AR, Italy, Italy
Funder
POR CREO FESR Toscana
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3628096.3629047
Reference16 articles.
1. Validation of the Hendrich II Fall Risk Model: A large concurrent case/control study of hospitalized patients
2. T. Brown and B. Katz. 2011. Change by design: How Design Thinking Transforms Organizations and Inspires Innovation. HarperBusiness New York.
3. I. D. Cameron S. M. Dyer C. E. Panagoda G. R. Murray K. D. Hill R. G. Cumming and N. Kerse. 2018. Interventions for preventing falls in older people in care facilities and hospitals. Cochrane Database Syst Rev 9 9 (2018).
4. Hospital falls prevention with patient education: a scoping review;Heng H.;BMC Geriatr,2020
5. Z. Juntang T. Tommy D. Yifan and T. Sekhar. 2020. AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR abs/2010.07468 (2020). arXiv:2010.07468
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