Patent ID: 11915151
Assignee: ZOE LIMITED
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
receiving test data associated with performance of one or more tests in a non-clinical setting, wherein the one or more tests are associated with an identification of one or more nutritional responses, the test data including at least food data, biome data, device test data captured by an electronic device, lab test data, and user generated data;
utilizing a first machine learning mechanism to determine an accuracy of the test data;
utilizing a second machine learning mechanism to determine adjusted test data;
determining a quality score utilizing the first machine learning mechanism and wherein generating the quality score comprises:
generating a food data score that provides an indication of a quality of the food data received;
generating a biome data score that provides an indication of a quality of the biome data;
generating a device test data score that provides an indication of a quality of the device test data;
generating a lab test data score that provides an indication of a quality of the lab test data; and
generating a user test data score that provides an indication of a quality of the user generated data; and

adjusting, based at least in part on the accuracy of the test data and the quality score, a third machine learning mechanism which uses the adjusted test data as an input, wherein adjusting the third machine learning mechanism further comprises adjusting a weighting associated with the third machine learning mechanism based at least in part on the accuracy of the test data.