1. A system for classifying a health condition of a patient, the system comprising: a model creation engine configured to create a medical classification model by at least: receiving an identification of a clinical feature that is to be associated with a health condition, the identification being provided by one or more of an automated analysis of an electronic medical reference and a manual expert identification of the clinical feature, the clinical feature comprising one or more of the following features: an identified medication, a clinical event, a microbial culture feature, and a radiology feature, creating a rule that maps the clinical feature to the health condition in a model data repository comprising physical computer storage, wherein the rule reflects a relationship between the clinical feature and the health condition, automatically learning a weight to apply to the rule with a supervised machine learning algorithm by at least analyzing the clinical feature with respect to pre-identified outcomes in a training data set, the training data set comprising first structured clinical event data, the rule reflecting a strength of the relationship between the clinical feature and the health condition, and storing, in the model data repository, the learned weight associated with the rule for subsequent usage in identifying a patient health condition; and an outcome identification module comprising computer hardware, the outcome identification module configured to at least: access patient data corresponding to a patient, the patient data comprising second structured clinical event data stored in an electronic health record (EHR) database, analyze the second structured clinical event data to determine whether the clinical feature exists in the clinical event data, apply the rule and the weight of the medical classification model to the clinical feature to infer a possible health condition of the patient by at least matching the rule with a selected clinical feature in the second structured clinical event data corresponding to the patient, and provide one or more billing codes configured to be processed by a medical billing system, said one or more billing codes being based at least in part on the possible health condition of the patient.