Patent ID: 11972849
Assignee: MICHAEL ISOM
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. At a computer system including at least one processor, a computer-implemented method for optimizing database functionality, the method comprising:
receiving test data from a plurality of different test data sources for a specified user under test;
training a machine learning model to:
access the test data received from the plurality of different test data sources for the same user under test;
identify which disparate substances are being tested on the user by each of the plurality of different test data sources; and
determine a relevance score for each of the identified substances being tested by the plurality of different test data sources, wherein training the machine learning model to determine the relevance score for each of the identified substances includes determining a degree to which the identified substances being tested are indicative of a specified health condition of the user under test; and

generating an illustration of combined test results for the user under test that includes those substances that meet at least a minimum relevance score.