Abstract: A method for supporting medical decision making using mathematical models of patients, implemented on a server, includes: generating a training dataset containing electronic medical records of patients grouped by patient; pre-processing the data contained in the medical records of patients selected from the training dataset; converting the processed data into a sequence of medical facts with respect to each patient, using medical ontologies; automatically tagging the resulting sequence of medical facts with respect to each patient, using facts of interest extracted from the patient's medical record; training initial representations independently for each modality; training combined representations; training final models and aggregation parameters; obtaining the medical record of a patient not included in the training dataset; pre-processing the data contained in the patient medical record obtained; converting the pre-processed data into a sequence of medical facts, using medical ontologies; sending the result