Methods and Systems for Providing Medical Insights

A computer system, comprising:

• one or more processors;
• and
• memory storing one or more programs for execution by the one or more processors, the one or more programs further comprising instructions for:
• constructing a digital model of a user including a plurality of features representing demographic, medical, and activity data of the user;
• applying a classifier model to the digital model to identify a first set of actionable insights;
• identifying one or more clustering models generated from user data for a plurality of users in a vector space having dimensions correspond to the plurality of features;
• assigning the digital model to a respective cluster within each of the one or more clustering models;
• and
• identifying a second set of actionable insights according to respective clusters assigned to the digital model within the one or more clustering models;
• and
• presenting a subset of the first and second sets of actionable insights to the user on a user interface.

A non-transitory computer-readable storage medium, storing one or more programs configured for execution by one or more processors, the one or more programs further comprising instructions for:

• constructing a digital model of a user including a plurality of features representing demographic, medical, and activity data of the user;
• applying a classifier model to the digital model to identify a first set of actionable insights;
• identifying one or more clustering models generated from user data for a plurality of users in a vector space having dimensions correspond to the plurality of features;
• assigning the digital model to a respective cluster within each of the one or more clustering models;
• identifying a second set of actionable insights according to respective clusters assigned to the digital model within the one or more clustering models;
• and
• presenting a subset of the first and second sets of actionable insights to the user on a user interface.