Researchers are developing computer models to comb through thousands of injury reports in large administrative medical datasets or insurance claims data to automatically classify them based on specific words or phrases. The goal is to identify common causes so that efforts can be directed toward reducing the rate of various injuries and accidents.

Research findings are detailed in a white paper titled, “Bayesian methods: a useful tool for classifying injury narratives into cause groups.”

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