Machine learning system for asymmetrical matching of care givers and care receivers

A system for selection of a medical provider (MP) by a requesting patient based on preferences for the MP, comprising:

• a first primary model for modeling the preferences of a plurality of patients for select MPs and trained on a first training data set, the first primary model having a MP preference output for outputting a patient determined preference of the requesting patient for an available MP based on a learned representation of the patient determined preferences in the first training data set in response to a query from the requesting patient;
• a second modifying model for modeling the preferences of a plurality of MPs for select patients and trained on a second training data set, the second modifying model having an MP determined preference output for outputting an MP determined preference of an available MP for the requesting patient based on a learned representation of the MP determined preferences in the second training data set in response to the query to the first primary model from the requesting patient;
• an available MP data set containing information representative of available MPs for selection thereof by the requesting patient;
• a controller for controlling the first primary model and second modifying model to select at least a portion of the available MPs in the available MP data set for input to the first primary model and the second modifying model, the controller controlling the first primary model and second modifying model to sequence through the selected at least a portion of the available MPs;
• a patient rank calculator to accumulate the patient determined preferences for MPs associated with the selected at least a portion of the available MPs and generate a MP ranking for each of the selected at least a portion of the available MPs, wherein each of the patient determined preferences for MPs have a first variable weighting value associated therewith set by a first control input from the controller;
• a MP rank calculator to accumulate the output MP determined preferences for the requesting patient for each of the selected at least a portion of the available MPs and generate a patient ranking for each of the selected at least a portion of the available MPs, wherein each of the output MP determined preferences for the requesting patient have a second variable weighting value associated therewith set by a second control input from the controller;
• and
• a modifier for modifying the patient ranking output of the patient rank calculator with the output of the MP rank calculator to provide as an output in response to the query from the requesting patient a resultant ranking list for each of the selected at least a portion of the available MPs.

A method for selection of a medical provider (MP) by a requesting patient based on preferences for the MP, comprising:

• modeling the preferences of a plurality of patients for select MPs and trained on a first training data set comprised of patients and MPs using a first primary model, wherein the patients in the first training data set have rated at least one of the MPs in the first training data set by a predetermined set of patient determined preferences;
• outputting a patient determined preference of the requesting patient for an available MP based on a learned representation of the patient determined preferences in the first training data set in response to a query from the requesting patient using the first primary model;
• modeling the preferences of a plurality of MPs for select patients and trained on a second training data set comprised of MPs and patients using a second modifying model, wherein the MPs in the second training data set have rated at least one of the patients in the second training data set by a predetermined set of MP determined preferences;
• outputting an MP determined preference of an available MP for the requesting patient based on a learned representation of the MP determined preferences in the second training data set in response to the query to the first primary model from the requesting patient using the second modifying model;
• storing information representative of available MPs for selection thereof by the requesting patient within an available MP data set;
• selecting at least a portion of the available MPs in the available MP data set for input to the first primary model and the second modifying model using a controller;
• controlling the first primary model and second modifying model to sequence through the selected at least a portion of the available MPs using the controller;
• accumulating the output patient determined preferences for MPs associated with the selected at least a portion of the available MPs using a patient rank calculator;
• generating an MP ranking for each of the selected at least a portion of the available MPs using an MP rank calculator responsive to the accumulated output patient determined preferences;
• accumulating the output MP determined preferences for the requesting patient for each of the selected at least a portion of the available MPs using the MP rank calculator;
• generating a patient ranking for each of the selected at least a portion of the available MPs using the MP rank calculator responsive to the accumulated output MP determined preferences;
• weighting the determined preference for at least one of the patient rank calculator and the MP rank calculator using a plurality of weighting blocks;
• controlling a weighting value applied by the plurality of weighting blocks to each of the associated determined preferences;
• and
• modifying the patient ranking output of the patient rank calculator with the output of the MP rank calculator to provide as an output in response to the query from the requesting patient a resultant ranking list for each of the selected at least a portion of the available MPs.