Artificial intelligence systems and methods for vibrant constitutional guidance
First Claim
1. An artificial intelligence advisory system for vibrant constitutional guidance, the artificial intelligence advisory system comprising:
- at least a server;
a diagnostic engine operating on the at least a server, wherein the diagnostic engine is configured to;
receive at least a biological extraction from a user; and
generate a diagnostic output based on the at least a biological extraction, the diagnostic output including a plurality of prognostic labels and at least an ameliorative process label;
a plan generation module operating on the at least a server, the plan generation module designed and configured to generate, based on the diagnostic output, a comprehensive instruction set associated with the user, wherein the comprehensive instruction set includes at least a current prognostic descriptor and at least an ameliorative process descriptor, wherein generating the comprehensive instruction set further includes;
adding a prognostic category label to the comprehensive instruction set, wherein adding the prognostic category label further comprises;
generating a query using a first prognostic label of the plurality of prognostic labels and a second prognostic label of the plurality of prognostic labels;
querying a prognostic label classification database using the query;
receiving, as a result of the query, a first category of symptoms relating to the first prognostic label and a second category of symptoms relating to the second prognostic label;
determining, using the first category of symptoms and the second category of symptoms, that the second prognostic label and the third prognostic label belong to a shared category;
adding a category label associated with a shared category to the comprehensive instruction set; and
adding a first prognostic narrative language element and a second prognostic narrative language element to the comprehensive instruction set, wherein adding the first prognostic narrative language element and the second prognostic narrative language element further comprises;
determining a first element of narrative language including a phrase associated with the first prognostic label, wherein determining further comprises detecting, within a corpus of documents received from at least an expert and using a first hidden Markov model, a relationship between the phrase associated with the first prognostic label and the first prognostic label;
determining a second element of narrative language including a phrase associated with the second prognostic label wherein determining further comprises detecting, within the corpus of documents and using a second hidden Markov model, a relationship between the phrase associated with the second prognostic label and the second prognostic label; and
adding the first element of narrative language and the second element of narrative language to the comprehensive instruction set;
a client-interface module, the client-interface module designed and configured to transmit the comprehensive instruction set to at least a user client device associated with the user; and
at least an advisory module, the at least an advisory module designed and configured to;
generate at least an advisory output as a function of the comprehensive instruction set; and
transmit the advisory output to at least an advisor client device.
1 Assignment
0 Petitions
Accused Products
Abstract
An artificial intelligence advisory system for vibrant constitutional guidance includes a diagnostic engine operating on at least a server and configured to receive at least a biological extraction from a user and generate a diagnostic output, based on the at least a biological extraction, including at least a prognostic label and at least an ameliorative process label. The system includes a plan generation module configured to generate, based on the diagnostic output, a comprehensive instruction set, associated with the user, including at least a current prognostic descriptor and at least an ameliorative process descriptor. The system includes client-interface module designed and configured to transmit the comprehensive instruction set to at least a user client device. The system includes at least an advisory module configured to generate at least an advisory output as a function of the comprehensive instruction set and transmit the advisory output to at least an advisor client device.
37 Citations
20 Claims
-
1. An artificial intelligence advisory system for vibrant constitutional guidance, the artificial intelligence advisory system comprising:
-
at least a server; a diagnostic engine operating on the at least a server, wherein the diagnostic engine is configured to; receive at least a biological extraction from a user; and generate a diagnostic output based on the at least a biological extraction, the diagnostic output including a plurality of prognostic labels and at least an ameliorative process label; a plan generation module operating on the at least a server, the plan generation module designed and configured to generate, based on the diagnostic output, a comprehensive instruction set associated with the user, wherein the comprehensive instruction set includes at least a current prognostic descriptor and at least an ameliorative process descriptor, wherein generating the comprehensive instruction set further includes; adding a prognostic category label to the comprehensive instruction set, wherein adding the prognostic category label further comprises; generating a query using a first prognostic label of the plurality of prognostic labels and a second prognostic label of the plurality of prognostic labels; querying a prognostic label classification database using the query; receiving, as a result of the query, a first category of symptoms relating to the first prognostic label and a second category of symptoms relating to the second prognostic label; determining, using the first category of symptoms and the second category of symptoms, that the second prognostic label and the third prognostic label belong to a shared category; adding a category label associated with a shared category to the comprehensive instruction set; and adding a first prognostic narrative language element and a second prognostic narrative language element to the comprehensive instruction set, wherein adding the first prognostic narrative language element and the second prognostic narrative language element further comprises; determining a first element of narrative language including a phrase associated with the first prognostic label, wherein determining further comprises detecting, within a corpus of documents received from at least an expert and using a first hidden Markov model, a relationship between the phrase associated with the first prognostic label and the first prognostic label; determining a second element of narrative language including a phrase associated with the second prognostic label wherein determining further comprises detecting, within the corpus of documents and using a second hidden Markov model, a relationship between the phrase associated with the second prognostic label and the second prognostic label; and adding the first element of narrative language and the second element of narrative language to the comprehensive instruction set; a client-interface module, the client-interface module designed and configured to transmit the comprehensive instruction set to at least a user client device associated with the user; and at least an advisory module, the at least an advisory module designed and configured to; generate at least an advisory output as a function of the comprehensive instruction set; and transmit the advisory output to at least an advisor client device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
-
15. A method of vibrant constitutional guidance using artificial intelligence, the method comprising:
-
receiving, by a diagnostic engine operating on at least a server, at least a biological extraction from a user; generating, by the diagnostic engine, a diagnostic output based on the at least a biological extraction, the diagnostic output including at least a prognostic label and at least an ameliorative process label; generating, by a plan generation module operating on the at least a server, and based on the diagnostic output, a comprehensive instruction set associated with the user, the comprehensive instruction set including at least an ameliorative process descriptor and at least an ameliorative process descriptor, wherein generating the comprehensive instruction set further includes; adding a prognostic category label to the comprehensive instruction set, wherein adding the prognostic category label further comprises; generating a query using a first prognostic label of the plurality of prognostic labels and a second prognostic label of the plurality of prognostic labels; querying a prognostic label classification database using the query; receiving, as a result of the query, a first category of symptoms relating to the first prognostic label and a second category of symptoms relating to the second prognostic label; determining, using the first category of symptoms and the second category of symptoms, that the second prognostic label and the third prognostic label belong to a shared category; adding a category label associated with a shared category to the comprehensive instruction set; and adding a first prognostic narrative language element and a second prognostic narrative language element to the comprehensive instruction set, wherein adding the first prognostic narrative language element and the second prognostic narrative language element further comprises; determining a first element of narrative language including a phrase associated with the first prognostic label, wherein determining further comprises detecting, within a corpus of documents received from at least an expert and using a first hidden Markov model, a relationship between the phrase associated with the first prognostic label and the first prognostic label; determining a second element of narrative language including a phrase associated with the second prognostic label wherein determining further comprises detecting, within the corpus of documents and using a second hidden Markov model, a relationship between the phrase associated with the second prognostic label and the second prognostic label; and adding the first element of narrative language and the second element of narrative language to the comprehensive instruction set; transmitting, by a client-interface module operating on the at least a server, the comprehensive instruction set to at least a user client device associated with the user; and generating, by at least an advisory module, at least an advisory output as a function of the comprehensive instruction set. - View Dependent Claims (16, 17, 18, 19, 20)
-
Specification