US Patent Issued to NEC on Nov. 11 for "Machine learning for optimized learning of human-understandable logical rules from medical or other data" (German Inventors)

ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,468,733, issued on Nov. 11, was assigned to NEC Corp. (Tokyo).

"Machine learning for optimized learning of human-understandable logical rules from medical or other data" was invented by Francesco Alesiani (Heidelberg, Germany) and Markus Zopf (Heidelberg, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning method for learning and applying a rule set from relational data includes receiving a graph representing relational data, wherein nodes represent elements of the graph, and edges represent relationships between nodes, and generating an intermediate representation of the graph by mapping features of the nodes and edges of the grap...