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
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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