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  2. Geneva score - Wikipedia

    en.wikipedia.org/wiki/Geneva_score

    The Geneva score is a clinical prediction rule used in determining the pre-test probability of pulmonary embolism (PE) based on a patient's risk factors and clinical findings. [1] It has been shown to be as accurate as the Wells Score, and is less reliant on the experience of the doctor applying the rule. [2]

  3. Wells score (pulmonary embolism) - Wikipedia

    en.wikipedia.org/wiki/Wells_score_(pulmonary...

    The Wells score is a clinical prediction rule used to classify patients suspected of having pulmonary embolism (PE) into risk groups by quantifying the pre-test probability. It is different than Wells score for DVT (deep vein thrombosis).

  4. Pre- and post-test probability - Wikipedia

    en.wikipedia.org/wiki/Pre-_and_post-test_probability

    Post-test probability, as estimated from the pre-test probability with likelihood ratio, should be handled with caution in individuals with other determinants (such as risk factors) than the general population, as well as in individuals that have undergone previous tests, because such determinants or tests may also influence the test itself in ...

  5. Circular error probable - Wikipedia

    en.wikipedia.org/wiki/Circular_error_probable

    Probability (%) DRMS 63.213... CEP 50 2DRMS 98.169... R95 95 R99.7 99.7 We can then derive a conversion table to convert values expressed for one percentile level, to ...

  6. Pulmonary embolism - Wikipedia

    en.wikipedia.org/wiki/Pulmonary_embolism

    The PESI and sPESI (= simplified Pulmonary Embolism Severity Index) scoring tools can estimate the mortality of patients. The Geneva prediction rules and Wells criteria are used to calculate the pre-test probability of patients to predict who has a pulmonary embolism.

  7. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    The probability of type I errors is called the "false reject rate" (FRR) or false non-match rate (FNMR), while the probability of type II errors is called the "false accept rate" (FAR) or false match rate (FMR). If the system is designed to rarely match suspects then the probability of type II errors can be called the "false alarm rate". On the ...

  8. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    A probability distribution is not uniquely determined by the moments E[X n] = e nμ + ⁠ 1 / 2 ⁠ n 2 σ 2 for n ≥ 1. That is, there exist other distributions with the same set of moments. [4] In fact, there is a whole family of distributions with the same moments as the log-normal distribution. [citation needed]

  9. Probable error - Wikipedia

    en.wikipedia.org/wiki/Probable_error

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