1. A method for screening for lung cancer, the method comprising the steps of: inputting patient-specific data into a patient record, the patient-specific data representing the patient; performing at least one lung cancer screening procedure on a patient, wherein at least one result from the at least one procedure is input into the patient record; mining data of the patient record based on a domain knowledge base specific to lung cancer, wherein the data of the patient record is stored in structured and unstructured formats, and wherein the mining comprises populating, with populated data, a structured database compiled for lung cancer from the structured and unstructured data; analyzing, with a processor, the populated data of the structured database with the domain knowledge base to determine whether the patient has indications of lung cancer; and presenting a report as a function of a result of the analyzing; further comprising the steps of: analyzing the structured database of structured patient information for a patient population to create a model of a similar patient with similar characteristics of the patient based on the patient record; and determining a progression of lung cancer in the patient based on the model, wherein the structured database of population-based structured patient information is compiled by mining data of population-based patients based on the domain knowledge base, wherein the data is stored in structured and unstructured formats.