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Patient data mining for lung cancer screening

  • US 7,711,404 B2
  • Filed: 11/04/2002
  • Issued: 05/04/2010
  • Est. Priority Date: 11/02/2001
  • Status: Expired due to Fees
First Claim
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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.

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