Using machine learning models to predict falls in hospitalised adults
Population Health
Acute care
Predictive modelling
DOI:
10.1016/j.ijmedinf.2024.105436
Publication Date:
2024-03-24T00:19:48Z
AUTHORS (10)
ABSTRACT
Identifying patients at high risk of falling is crucial in implementing effective fall prevention programs. While the integration information systems becoming more widespread healthcare industry, it poses a significant challenge analysing vast amounts data to identify factors that could enhance patient safety.
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