Systems and methods for managing autoimmune conditions, disorders and diseases

A system for predictive screening or management of an autoimmune condition, the system comprising:

• a mobile electronic device configured to execute an instance of a graphical user interface comprising a plurality of user prompts associated with an autoimmune condition of a patient user;
• an integral or remote processor communicatively engaged with the mobile electronic device;
• and
• a non-transitory computer readable medium having instructions stored thereon that, when executed, cause the processor to perform one or more operations, the one or more operations comprising operations for:
• receiving a plurality of user-generated inputs in response to the plurality of user prompts;
• receiving one or more sensor inputs comprising a patient activity input or a patient physiological input;
• receiving one or more external data inputs comprising at least one patient historical data input;
• aggregating the plurality of user-generated inputs, the one or more sensor inputs, and the one or more external data inputs to define an aggregated dataset;
• analyzing the aggregated dataset according to at least one machine learning framework comprising at least one supervised learning model or artificial neural network, wherein the at least one machine learning framework comprises at least one dependent variable corresponding to a current or future state of the autoimmune condition;
• generating at least one diagnostic measure of the current or future state of the autoimmune condition according to the at least one machine learning framework;
• and
• generating, with the processor, at least one activity recommendation in response to the at least one diagnostic measure, the at least one activity recommendation corresponding to at least one patient action associated with the current or future state of the autoimmune condition.

A non-transitory computer-readable medium encoded with instructions for commanding one or more processors to execute operations of a method for predictive screening or management of an autoimmune condition, the operations comprising one or more operations for:

• receiving a plurality of data from one or more data sources, the plurality of data comprising one or more user-generated inputs corresponding to an autoimmune condition in a patient user;
• aggregating the plurality of data to define an aggregated dataset;
• analyzing the aggregated dataset according to at least one machine learning framework comprising at least one supervised learning model or artificial neural network, wherein the at least one machine learning framework comprises at least one dependent variable corresponding to a current or future state of the autoimmune condition;
• generating at least one diagnostic measure of the autoimmune condition according to the at least one machine learning framework;
• and
• generating at least one activity recommendation in response to the at least one diagnostic measure, the at least one activity recommendation corresponding to at least one patient outcome associated with the current or future state of the autoimmune condition.