Machine Learning Breaks Bottleneck In Gathering Valuable Information About Cancer

May 2, 2016 12:00 pm

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Machine learning applied to free-text pathology reports is shown to break a bottleneck that interferes with the process of turning electronically gathered clinical records into information that has widespread value in the healthcare industry.

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