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Predictive analytics can slash unnecessary GI lab tests by h

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Predictive modeling likely could reduce unnecessary lab tests for intensive-care patients with gastrointestinal bleeding, according to a new study published in the International Journal of Medical Informatics.

Working from a database of 746 patients, researchers found that predictive modeling based on 11 measurements could accurately classify more than 80 percent of both necessary and unnecessary lab tests. They achieved an average reduction of 50 percent of eight common gastrointestinal lab tests, better than the 37 percent reduction reached in similar studies.

The researchers, from the Massachusetts Institute of Technology, said they planned to expand their work to include a number of underlying medical conditions and additional laboratory tests.

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