Index for risk of non-adherence in geographic region with patient-level projection

A non-transitory computer readable medium encoded with a computer program that comprises instructions to cause a processor to:

• train each of multiple dimensionality reduction models to reduce a dimensionality of socio-demographic variables associated with a respective one of multiple social determinants of health (SDoH) categories;
• process multiple sets of SDoH training data with the dimensionality reduction models to generate multiple respective sets of dimensionally reduced SDoH training data;
• train a predictive model to correlate the sets of dimensionally reduced SDoH training data to respective training measures of a patient behavior;
• process categories of SDoH of a first geographic region with respective ones of the dimensionality reduction models to provide dimensionally reduced SDoH of the first geographic region;
• process the dimensionally reduced SDoH of the first geographic region with the predictive model to provide a predicted measure of the patient behavior for the first geographic region;
• and
• present a visual indication of the predicted measure of the patient behavior on a user-interactive display.

A computing machine implemented method, comprising:

• training each of multiple dimensionality reduction models to reduce a dimensionality of socio-demographic variables associated with a respective one of multiple social determinants of health (SDoH) categories;
• processing multiple sets of SDoH training data with the dimensionality reduction models to generate multiple respective sets of dimensionally reduced SDoH training data;
• training a predictive model to correlate the sets of dimensionally reduced SDoH training data to respective training measures of a patient behavior;
• processing categories of SDoH of a first geographic region with respective ones of the dimensionality reduction models to provide dimensionally reduced SDoH of the first geographic region;
• processing the dimensionally reduced SDoH of the first geographic region with the predictive model to provide a predicted measure of the patient behavior for the first geographic region;
• and
• presenting a visual indication of the predicted measure of the patient behavior on a user-interactive display.