A system for reducing memory processing resources comprises one or more processors configured to generate a plurality of principal components (PCs) corresponding to characteristic data for entities in a dataset to reduce a size of the dataset; generate a score for each entity in the dataset based at least on (i) the PCs, and (ii) weights for a condition of interest; determine a set of alternates that correspond to the condition of interest; determine, using a machine learning model, interactions between the set of alternates for one or more target components corresponding to the object and the scores, wherein the interactions are indicative of a response for the condition of interest; and perform one or more actions.