Method of and system for generating a longevity element and an instruction set for a longevity element plan

Abstract

A system for generating a longevity element and an instruction set for a longevity element plan, the system including at least a computing device, wherein the computing device is designed and configured to receive, from a user, at least an element of user-reported data, determine, using the at least an element of user-reported data and a first machine-learning process, a longevity element, calculate, using a longevity element and at least a second element of data, a compensatory supplement, and generate, using the at least an element of user-reported data and at least a longevity element, an instruction set for a longevity element plan.

What is claimed is: 
     
         1 . A system for generating a compensatory supplement, the system comprising:
 at least a computing device, wherein the computing device is designed and configured to:
 receive a plurality of user-reported data; 
 determine a longevity element, wherein determining the longevity element further comprises:
 receiving training data correlating user-reported data to supplement doses; 
 training a first machine-learning process as a function of the training data; and 
 determining the longevity element as a function of the first machine-learning process; and 
 
 calculate, as a function of the longevity element and a second machine-learning process, a compensatory supplement, wherein calculating the compensatory supplement comprises training the second machine-learning process with second training data correlating longevity elements to compensatory supplements, wherein the second machine-learning model is configured to input the longevity element and output the compensatory supplement. 
   
     
     
         2 . The system of  claim 1 , wherein the computing device is further configured to generate, as a function of the at least a longevity element and a third machine-learning process, an instruction set corresponding to a longevity element plan. 
     
     
         3 . The system of  claim 2 , wherein generating the instruction set corresponding to the longevity element plan comprises generating an attenuation schedule using a fourth machine-learning process, wherein the attenuation schedule is configured to wean a user off of the longevity element. 
     
     
         4 . The system of  claim 3 , wherein generating the instruction set corresponding to the longevity element plan comprises adding attenuation schedule to the instruction set. 
     
     
         5 . The system of  claim 3 , wherein the attenuation schedule comprises a supplement dose and dose frequency. 
     
     
         6 . The system of  claim 1 , wherein the plurality of user-reported data includes a symptom. 
     
     
         7 . The system of  claim 1 , wherein the plurality of user reported data includes a diagnosis. 
     
     
         8 . The system of  claim 2 , wherein calculating the compensatory supplement comprises:
 retrieving at least a second element of data from a database, wherein a second element of data is at least a side-effect from a first longevity element; and   calculating, a compensatory supplement amount to alleviate a side-effect of the longevity element.   
     
     
         9 . The system of  claim 1 , wherein receiving a plurality of user-reported data comprises receiving the plurality of user-reported data from a user database. 
     
     
         10 . The system of  claim 2 , wherein the instruction set comprises a delivery duration, wherein the delivery duration reflects a complete dosage frequency for weaning a user off a supplement. 
     
     
         11 . A method for generating a compensatory supplement, the method comprising:
 receiving, by a computing device, from a user, a plurality of user-reported data;   determining, by the computing device, using the at least an element of user-reported data and a first machine-learning process, a longevity element; and   calculating, by the computing device, using a longevity element and a second machine-learning process, a compensatory supplement, wherein calculating the compensatory supplement comprises training the second machine-learning process with second training data correlating longevity elements to compensatory supplements, wherein the second machine-learning model is configured to input the longevity element and output the compensatory supplement.   
     
     
         12 . The method of  claim 11 , further comprising generating, using the computing device, as a function of the at least a longevity element and a third machine-learning process, an instruction set corresponding to a longevity element plan. 
     
     
         13 . The method of  claim 12 , wherein generating the instruction set corresponding to the longevity element plan comprises generating an attenuation schedule using a fourth machine-learning process, wherein the attenuation schedule is configured to wean a user off of the longevity element. 
     
     
         14 . The method of  claim 13 , wherein generating the instruction set corresponding to the longevity element plan comprises adding attenuation schedule to the instruction set. 
     
     
         15 . The method of  claim 13 , wherein the attenuation schedule comprises a supplement dose and dose frequency. 
     
     
         16 . The method of  claim 11 , wherein the plurality of user-reported data includes a symptom. 
     
     
         17 . The method of  claim 11 , wherein the plurality of user reported data includes a diagnosis. 
     
     
         18 . The method of  claim 12 , wherein calculating the compensatory supplement comprises:
 retrieving at least a second element of data from a database, wherein a second element of data is at least a side-effect from a first longevity element; and   calculating, a compensatory supplement amount to alleviate a side-effect of the longevity element.   
     
     
         19 . The method of  claim 11 , wherein receiving a plurality of user-reported data comprises receiving the plurality of user-reported data from a user database. 
     
     
         20 . The method of  claim 12 , wherein the instruction set comprises a delivery duration, wherein the delivery duration reflects a complete dosage frequency for weaning a user off a supplement.