Machine Learning Breaks Bottleneck In Gathering Valuable Information About Cancer
May 2, 2016 12:00 pm
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.