Patent ID: 11861468
Assignee: KPN INNOVATIONS LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for determining a plurality of biological outcomes using a plurality of dimensions of biological extraction user data and artificial intelligence, the system comprising a computing device, wherein the computing device is designed and configured to:
receive, a plurality of dimensions of biological extraction data, wherein receiving the plurality of dimensions of biological extraction comprises receiving at least a gut wall and food sensitivity analysis, wherein the at least a gut wall and food sensitivity analysis comprises data relating to a food intolerance of a user;
generate a classifier, wherein the classifier identifies a subset of users mutually similar in the plurality of dimensions of biological extraction data;
generate a first machine learning process comprising a plurality of correlated biosketch measurements, wherein each correlated biosketch measurement comprises a mathematical relationship between at least two elements of dimensional biological data, wherein generating the first machine learning process comprises training the first machine learning process as a function of training data to produce the plurality of correlated biosketch measurements and wherein the trained first machine learning process is configured to receive the plurality of dimensions of biological extraction data as an input and to output a dimensional history of the user as a function of biological extraction data and the plurality of correlated biosketch measurements; and
determine, using a second machine learning process and the dimensional history of the user, at least a biological outcome associated with the user, wherein determining the at least a biological outcome comprises:
determining a long-term effect as a function of the biological outcome associated with the user, wherein the long-term effect comprises a probability of a chronic element of the at least a biological outcome; and
generating at least an acute effect using a third machine learning process, wherein the third machine learning process receives the long-term effect and the plurality of dimensions of biological extraction as inputs and outputs the at least an acute effect, wherein the at least an acute effect comprises descriptions of potential immediate triggers for the long-term effect.