HIERARCHICAL LOCAL MODEL FOR SOCIAL DETERMINANTS OF HEALTH INDEX PREDICTION

摘要

A method for training a hierarchical machine learning model that produces a social determinants of health (SDoH) index, including: receiving a description of a geographic area of interest made up of a set of first geographic areas having a first geographic level; determining an area of interest similarity score for each of a plurality of geographic areas having the first geographic hierarchy outside the geographic area of interest; determining an optimal hierarchical machine learning model by minimizing a performance metric based upon the determined area of interest similarity scores for a set of SDoH features by repeating the steps of: determining a training set of data based upon the determined area of interest similarity scores; training the hierarchical machine learning model using the determined training set of data; and calculating the performance metric for the trained model based upon the test set.