1. A computer implemented method comprising: mapping data from an electronic medical record maintained in computerized systems to standardized medical concepts in an ontology to identify candidate medical problems of a patient associated with said electronic medical record; generating and scoring feature values for said candidate medical problems by scoring said feature values based on identification of sections of said electronic medical record where said candidate medical problems appear to assign a numerical value to a feature value based on a non-numeric category within said electronic medical record, scoring said feature values based on how recent a clinical note was entered from which a candidate medical problem was extracted, and scoring said feature values based on strength of relationships between: said standardized medical concepts and prescribed medications identified within said electronic medical record; and said standardized medical concepts and laboratory test results within said electronic medical record; weighting said feature values according to a weighting function that determines how likely said candidate medical problems are actual medical problems of said patient associated with said electronic medical record to generate a weighted score for said feature values of said candidate medical problems of said patient; filtering said candidate medical problems that have said feature values with said weighted score below a threshold to leave medical problem concepts of said patient; and outputting a list of said medical problem concepts from a computerized device.