| 摘要 |
A web-based medical diagnostic system predicts diseases via the use of likelihood ratio calculations. Likelihood ratios are multiplied against pre-test odds for diseases to predict post-test odds that will guide a physician to a diagnosis. Each likelihood ratio is calculated on the basis of statistically accrued data and in response to questions and answers directed to patients or test results. Likelihood ratios are scaled infinitely beyond a simple 2x2 matrix, with an independent likelihood matrix created for individual patient responses or test results which are treated as independent variables in the system. The number of predicted diseases and diagnostic outcomes is also infinitely scalable.
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