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The predictive power of geographic health care utilization for unintentional fatal fall rates.

Matthew Gordon CrowsonJason A BeyeaJustin CottrellFaisal KarmaliGiovanni LampasonaJames E SaundersRichard F Lewis
Published in: BMC public health (2022)
Machine learning models have high accuracy in predicting geographic age-adjusted mortality rates from health care utilization data. In the United States from 2001 through 2018, adults aged 85+ years carried the highest death rate from unintentional falls and this rate is forecasted to accelerate.
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