Patent ID: 11928570
Assignee: KPN INNOVATIONS LLC
Field: Pharmaceuticals (Chemistry)
Classification: CPC G  A | IPC A  G

Claim 0:
1. A system for generating an advisory instruction set, the system comprising:
at least a server, wherein the at least a server is configured to receive at least a prognostic output;
an alimentary instruction label learner, wherein the alimentary instruction label learner is configured to:
receive a training set correlating prognostic label inputs to alimentary outputs and at least a longitudinal data set;
train a first machine-learning model using the training set and the at least a longitudinal data set; and
generate, as a function of the first machine-learning model, at least an alimentary output, wherein the first machine-learning model inputs the at least a prognostic output and outputs at least an alimentary output; and

an advisory module, wherein the advisory module is configured to receive the at least an alimentary output, and generate an advisory instruction set comprising at least one specialized instruction as a function of the alimentary output, wherein generating the advisory instruction set comprises receiving informed advisor information from a user database and providing the at least one specialized instruction to the informed advisor information, wherein the advisory module comprises a user communication learner comprising:
a general learner, wherein the general learner is configured to:
receive a second training set comprising a corpus of previous conversations, the second training set correlating user inputs to communication outputs;
train a second machine-learning model using the second training set; and
generate, as a function of the second machine-learning model, at least one communication output; and

a user-specific learner, wherein the user-specific learner is configured to generate a tailored communication output for a specified user, wherein generating the tailored communication output comprises:
receiving a plurality of input-output pairs from the general learner;
minimizing an error function representing a degree of success, wherein the degree of success comprises a comparison of the alimentary output and the at least one specialized instruction to the plurality of input-output pairs; and
generating the tailored communication output based on the minimization of the error function.