US 11,742,069 B2
Systems and methods for generating a nociception nourishment program
Kenneth Neumann, Lakewood, CO (US)
Assigned to KPN INNOVATIONS, LLC., Lakewood, CO (US)
Filed by KPN INNOVATIONS, LLC., Lakewood, CO (US)
Filed on Feb. 1, 2021, as Appl. No. 17/164,631.
Prior Publication US 2022/0246277 A1, Aug. 4, 2022
Int. Cl. G16H 20/60 (2018.01)
CPC G16H 20/60 (2018.01) 16 Claims
OG exemplary drawing
 
1. A system for generating a nourishment program for nociception disorders, the system comprising:
a computing device, wherein the computing device is configured to:
retrieve a nociception parameter related to a subject;
classify the nociception parameter to a nociception grouping;
identify, using the nociception grouping, a plurality of nutrition elements, wherein identifying the plurality of nutrition elements includes:
generating a plurality of nutritional metrics associated with reduction of nociception as a function of the nociception grouping;
determining a respective effect of each nutritional metric of the plurality of nutritional metrics on the nociception parameter;
calculating at least a nutritional level as a function of the respective effect of each nutritional metric, wherein the at least a nutritional level comprises a nutrient amount intended to address the nociception parameter; and
identifying the plurality of nutrition elements as a function of the at least a nutritional level;
modifying the plurality of nutrition elements as a function of a subject preference, wherein a subject preference comprises a constraint of at least one nutrition element of the plurality of nutrition elements; and
generate a nociception nourishment program, which comprises a nociception nourishment index, using the modified plurality of nutrition elements, wherein generating the nociception nourishment index comprises:
receiving nutritional input based on a subject interaction with a client device:
generating an indexing model using training data including a plurality of data entries correlating the respective effect of each nutrition element in the nociception nourishment program on the nociception parameter; and
generating the nociception nourishment index as a function of the indexing model and the nutritional input.