Method of Capturing and Evaluation Uncertainty in Computerized Intelligent Systems for Medical Diagnosis
First Claim
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1. A method of rendering a medical diagnosis with a computational intelligent system comprising:
- capturing current illness data from a patient;
capturing history data from the patient;
capturing additional pertinent patient informational data from the patient;
assessing reliability of data collected from the patient;
utilizing a subset of the data collected to query a database for a one or more possible diagnosis solutions matching the subset;
determining a probability of each solutions being the final solution;
discounting the probability in accordance with the reliability of data in the subset.
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Abstract
A method of collecting data as well as the uncertainty of that data for use in a computation intelligent system for use in distinguishing between a plurality of outcomes and discounting the probability of each outcome through a Bayesian theorem application of uncertainty in contributory elements for each outcome.
4 Citations
20 Claims
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1. A method of rendering a medical diagnosis with a computational intelligent system comprising:
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capturing current illness data from a patient; capturing history data from the patient; capturing additional pertinent patient informational data from the patient; assessing reliability of data collected from the patient; utilizing a subset of the data collected to query a database for a one or more possible diagnosis solutions matching the subset; determining a probability of each solutions being the final solution; discounting the probability in accordance with the reliability of data in the subset. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method of rendering a medical diagnosis comprising:
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having an application; capturing current illness data from an application user; capturing history data from the user; capturing additional pertinent informational data from the user; assessing reliability of data collected from the user; utilizing a subset of the data collected to query a database for a one or more possible diagnosis solutions matching the subset; determining a probability of each solutions being the final solution; discounting the probability in accordance with the reliability of data in the subset. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification