Abstract: A system and method for identifying differential diagnoses using a multi-classifier disease model. The method includes constructing the multi-classifier disease model based on at least one disease profile, wherein the multi-classifier disease model is a machine learning network of at least one disease and a plurality of health variables; extracting at least one patient health variable from input patient data, wherein the input patient data indicates a patient condition; applying the multi-classifier disease model to the at least one patient health variable to determine probabilities for the at least one disease; identifying, based on the probabilities of the at least one disease, the differential diagnoses for the input patient data; and providing the differential diagnoses.

Abstract: A system and method for generating a patient-specific clinical meta-pathway. The method includes constructing a clinical meta-pathway graph of a network of pathway states, wherein each pathway state is associated with at least one of a plurality of differential diagnoses of a chief complaint; and wherein each pathway state includes a set of rules that define a connecting pathway state; applying a trained model to the constructed clinical meta-pathway graph to update the set of rules that define the connecting pathway state, wherein the model is trained based on at least historical patient data; navigating through the clinical meta-pathway based on input patient data, wherein the navigation through pathway states is guided by a function of the set of rules; and causing a display of at least a portion of the navigating pathway states.