Dania Home Society, Gerontology and Diabetes Research Laboratory (GDRL) of the Vancouver Coastal Health Research Institute, and the Division of Geriatric Medicine, Department of Medicine, University of British Columbia have been working in partnership since 2021 to address the ongoing problem within long term care and assisted living of frequent fallers. Together we are looking at 5 years of retroactive residential care data to develop a falls risk tool for using supervised machine learning methods, to pinpoint potential reversible factors to reduce falls in resident in long term care. We hypothesize that by dividing our retrospective data into training and validation datasets, we will be able to use supervised machine learning methods (such as neural networks, decision trees, random forests) to optimize a falls risk prediction tool.
Research & Quality Improvement
"Working Together to Improve Senior Care"
We have partnered with several organizations to conduct research that positively benefits our residents, as well as seniors across Canada.
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