Scientists create a labor-saving automated method for studying electronic health records

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A new, automated, artificial intelligence-based algorithm can learn to read patient data from electronic health records. In a side-by-side comparison, scientists showed that their method accurately identified patients with certain diseases as well as the traditional, ‘gold-standard’ method, which requires much more manual labor to develop and perform.


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