Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a medical treatment recommendation system. The medical treatment recommendation system receives a first patient electronic medical record (EMR) corresponding to a first patient. The medical treatment recommendation system analyzes the first patient EMR to detect an abbreviation within a span of content in the EMR using a plurality of abbreviation detectors. The medical treatment recommendation system identifies an abbreviation expansion for the abbreviation based on a term frequency and context of the abbreviation expansion. The medical treatment recommendation system performs an operation of the medical treatment recommendation system with regard to the span of content based on the identified abbreviation expansion.

Abstract: Systems and methods are provided for scoring a non-scripted speech sample. A system includes one or more data processors and one or more computer-readable mediums. The computer-readable mediums are encoded with a non-scripted speech sample data structure, where the non-scripted speech sample data structure includes: a speech sample identifier that identifies a non-scripted speech sample, a content feature extracted from the non-scripted speech sample, and a content-based speech score for the non-scripted speech sample. The computer-readable mediums further include instructions for commanding the one or more data processors to extract the content feature from a set of words automatically recognized in the non-scripted speech sample and to score the non-scripted speech sample by providing the extracted content feature to a scoring model to generate the content-based speech score.