Methods, apparatuses and computer program products for generating predicted multi-drug contraindication data objects

Abstract

Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may generate a plurality of multidimensional patient-drug tensors based at least in part on a plurality of patient record data objects and a plurality of combined drug input vectors, generate an interaction-attentive prediction data object based at least in part on the plurality of multidimensional patient-drug tensors and at least one interaction-attentive machine learning model, generate an interaction-inattentive prediction data object based at least in part on the plurality of patient record data objects and an interaction-inattentive machine learning model, determine a drug combination indicator based at least in part on comparing the interaction-attentive prediction data object and the interaction-inattentive prediction data object, generate a predicted multi-drug contraindication data object based at least in part on the drug combination indicator, and perform one or more prediction-based actions.