1. A method of using classified text and deep learning algorithms to identify medical risk and provide early warning comprising: obtaining one or more training datasets for textual data corresponding to one or more risk classifications, wherein said risk classification comprises one or more specific medical diagnoses of interest; training one or more deep learning algorithms using said one or more training datasets; obtaining and indexing an internal electronic health record (EHR) of a patient; applying said one or more deep learning algorithms to said internal EHR to identify and report any one of said one or more specific medical diagnoses of interest; determining if said identified one of said one or more specific medical diagnoses of interest is a false positive or a true positive; and re-training said one or more deep learning algorithms if said identified one of said one or more specific medical diagnoses of interest is a false positive.