US Patent Issued to Optum on Feb. 3 for "Machine learning techniques for validating and mutating outputs from predictive systems" (Pennsylvania, Washington, California Inventors)

ALEXANDRIA, Va., Feb. 3 -- United States Patent no. 12,541,722, issued on Feb. 3, was assigned to Optum Inc. (Minnetonka, Minn.).

"Machine learning techniques for validating and mutating outputs from predictive systems" was invented by Ame Osotsi (University Park, Pa.), Sae Goon Lee (Seattle) and Jason R Robinson (La Jolla, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for revising classifier predictions, wherein classification labels are tokenized according to an index of predefined classification labels. An embedding is created for each token using an embedding m...