A method, computer program product, and system continually obtain machine-readable data sets related to a patient population diagnosed with a medical condition from one or more databases (different computing nodes in the distributed environment). The processor(s) continually applies a recurrent neural network to the plurality of data sets to machine learn optimal features for classifying patients into multiple categories related to presence or progression of the medical condition. The processor(s) continually generates, based on the machine learned optimal set of features, intermediate features, based on the weightings of a portion of the machine learned optimal set of features, i.e., a model. The processor(s) evaluates the records and classifies records into the categories, based on a current model (model generated in real-time).