SYSTEM AND METHOD WITH FEDERATED LEARNING MODEL FOR GEOTEMPORAL DATA ASSOCIATED MEDICAL PREDICTION APPLICATIONS

摘要

The technology disclosed relates to a system and method for predicting comorbidity trajectories of disease categories on a census tract-basis. The system include logic to process satellite images for a particular census tract and generate respective latent feature vectors for respective satellite images. The system include logic to determine respective weighted average latent feature vectors for the respective latent feature vectors. The respective weighted average latent feature vectors are regressed against a plurality of disease categories and a plurality of risk factors. The regressor generates prevalence scores for disease categories in the plurality of disease categories and for risk factors in the plurality of risk factors. The system can correlate the disease categories with each other and with risk factors to determine comorbidity trajectories of the disease categories in the particular census tract.