Patent ID: 11908583
Assignee: KPN INNOVATIONS LLC
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 13:
14. A method of using a computing device for determining toxic load quantifiers, comprising:
receiving user input comprising first user data obtained from a physically extracted sample of the user, wherein the physically extracted sample of the user indicates an absorption ability of the user;
determining a toxin profile, wherein determining the toxin profile comprises:
receiving first training data correlating environmental elements to toxic element exposure levels;
training an environmental exposure classifier using the first training data and a first machine learning algorithm, wherein the environmental exposure classifier is configured to input first user data obtained from the physically extracted sample of the user and output toxin profiles; and
determining as a function of the first user data and the environmental exposure classifier, the toxin profile;

generating a query as a function of the first user data, wherein the query comprises an article of interest;
obtaining at least a query result as a function of the query, wherein obtaining the at least query result further comprises:
generating an objective function; and
optimizing the objective function as a function of the article of interest;

determining, as a function of a toxicity criterion and the first user data, a toxic load quantifier of the at least a query result, wherein the toxic load quantifier is based on an absorption rate of toxic elements in the article of interest indicated by the physically extracted sample of the user; wherein determining the toxic load quantifier comprises:
receiving second training data correlating query results to toxic load rankings;
training a toxic load machine learning model using the second training data and a second machine learning algorithm, wherein the toxic load machine learning model is configured to input query results and output toxic load rankings; and
determining, as a function of the obtained query result and the toxic load machine learning model, a toxic load ranking; and

displaying the toxic load quantifier to a user.