US Patent Issued to EVIDATION HEALTH on Nov. 3 for "Systems and methods for self-supervised learning based on naturally-occurring patterns of missing data" (American, German, Spanish Inventors)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,784,913, issued on Nov. 3, was assigned to EVIDATION HEALTH INC. (San Mateo, Calif.).

"Systems and methods for self-supervised learning based on naturally-occurring patterns of missing data" was invented by Luca Foschini (Santa Barbara, Calif.), Filip Jankovic (Santa Barbara, Calif.), Raghunandan Melkote Kainkaryam (Cincinnati), Juan Ignacio Oguiza Mendez (Rocafort, Spain) and Arinbjorn Kolbeinsson (Berlin).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method comprising accessing, by a machine learning system, a set of data records for a plurality of users, the data records representative of physical statistics measured for each of the plu...