Neural network-supported patient-adaptive fall prevention system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04451-y.pdf
Reference54 articles.
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3. Morello RT, Barker AL, Haines T et al (2013) In-hospital falls and fall-related injuries: a protocol for a cost of fall study. Inj Prev 19:363. https://doi.org/10.1136/injuryprev-2012-040706
4. Pomey M-P, Clavel N, Ferré N, Fernandez-Mcauley P (2018) How patients view their contribution as partners in the enhancement of patient safety in clinical care. Health Services Research Commons Patient Experience Journal 5:35–49
5. Hars M, Audet MC, Herrmann F et al (2018) Functional performances on admission predict in-hospital falls, injurious falls, and fractures in older patients: a prospective study. J Bone Miner Res. https://doi.org/10.1002/jbmr.3382
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