Patient Data Mining for Cardiology Screening
First Claim
1. A method for screening for coronary heart disease, the method comprising the steps of:
- data mining information relating to coronary risk factors from a structured data source and an unstructured data source, the information comprising values specific to an individual patient for each of the coronary risk factors;
compiling the information in a structured computerized patient database, at least some of the information compiled from the unstructured data to source from probabilistic inference;
presenting the information on a display;
retrieving a test for assessing risk of coronary heart disease, the test including a plurality of data fields relating to coronary risk factors; and
accessing, by the processor, the database to populate the data fields of the test with the values of the individual patient, the values for populating the data fields including first computerized patient records compiled from the unstructured data source.
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Abstract
A system and method for screening for coronary heart disease is provided. The method includes the steps of retrieving a test for assessing risk of coronary heart disease, the test including a plurality of data fields relating to coronary risk factors; accessing a database to populate the data fields with information of an individual patient; and calculating a risk assessment of the individual patient developing coronary heart disease. A system includes a first database including a plurality of structured computerized patient records; a second database including a knowledge base relating to coronary heart disease, the second database including at least one test for determining coronary heart disease risk; and a processor for retrieving the at least one test from the second database, populating the at least one test with patient information retrieved from the first database and calculating a risk assessment for at least one patient.
108 Citations
46 Claims
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1. A method for screening for coronary heart disease, the method comprising the steps of:
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data mining information relating to coronary risk factors from a structured data source and an unstructured data source, the information comprising values specific to an individual patient for each of the coronary risk factors; compiling the information in a structured computerized patient database, at least some of the information compiled from the unstructured data to source from probabilistic inference; presenting the information on a display; retrieving a test for assessing risk of coronary heart disease, the test including a plurality of data fields relating to coronary risk factors; and accessing, by the processor, the database to populate the data fields of the test with the values of the individual patient, the values for populating the data fields including first computerized patient records compiled from the unstructured data source. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A coronary heart disease screening system comprising:
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a first database including a plurality of structured computerized patient records mined, at least in part, from an unstructured data source using probabilistic inference; a second database including a knowledge base relating to coronary heart disease, the second database including at least one test for determining coronary heart disease risk wherein the at least one test includes a plurality of data fields relating to coronary risk factors; and a processor for retrieving the at least one test from the second database, populating the data fields of the at least one test with patient information retrieved from the first database and calculating a risk assessment for at least one patient. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
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43. A method for screening for coronary heart disease, the method comprising the steps of:
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retrieving a test for assessing risk of coronary heart disease, the test including a plurality of data fields relating to coronary risk factors; accessing a database to populate the data fields of the test with patient information of an individual patient, the patient information being from computerized patient records having an unstructured data source; calculating a risk assessment of the individual patient developing coronary heart disease as a function of the patient information in the data fields; performing, as a function of the patient information in the data fields, a sensitivity analysis on the coronary risk factors of the individual patient to determine which factor will have the greatest effect in influencing the risk assessment; creating a model of a coronary heart disease patient to simulate effects of different variables to perform the sensitivity analysis; and providing additional risk assessment at a later time. - View Dependent Claims (44, 45, 46)
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Specification