Abstract: In one aspect, the present disclosure relates to a platform for creating synthetic electronic health records, the platform being configured to perform operations including receiving EHR data and encoding the received EHR data as a plurality of fixed length vectors to form a fixed-length matrix. The platform provides the fixed-length matrix to a machine learning model as input to produce a plurality of visit history representations. For one or more particular visit history representations, of the plurality of visit history representations, the platform applies code information associated with the particular visit history. One or more appended visit histories are provided to one or more masked linear layers to produce a probability matrix comprising probabilities for each code for each visit. The platform produces one or more synthetic EHRs based on repeated sequential generation of and sampling from the probability matrix.