Patent ID: 11887720
Assignee: KPN INNOVATIONS LLC
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 10:
11. A method for using a feedback loop to optimize meals, the method comprising:
retrieving, by a processor, nutrition data for a plurality of users sharing a phenotype from a database;
generating, by the processor, a plurality of nutrient scores using a nutrient classifier, wherein the plurality of nutrient scores relate to an impact of one or more nutrients on one of more phenotypes, wherein generating the nutrient score comprises:
training the nutrient classifier using nutrient training data, wherein the nutrient training data comprises historical nutrient data correlated to categories of nutrients;
generating the plurality of nutrient scores as a function of the nutrient classifier;

generating, by the processor, an optimization score, wherein generating the optimization score comprises:
training an optimization machine-learning model, wherein the optimization machine-learning model is trained with optimization training data;
inputting a nutrient quantity to the optimization machine-learning model to output a target nutrient score, wherein the target nutrient score comprises a nutrient score for a particular phenotype associated with a user from the plurality of nutrient scores; and
generating the optimization score as a function of the nutrition data and the target nutrient score; and

modifying, by the processor, the nutrition data as a function of the optimization score, wherein modifying the nutrition data comprises reassigning at least one user to a different phenotype.