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  2. Coronary CT calcium scan - Wikipedia

    en.wikipedia.org/wiki/Coronary_CT_calcium_scan

    Lesion specific calcium score. The Agatston score, named after its developer Arthur Agatston, is a measure of calcium on a coronary CT calcium scan. [7] The original work, published in 1990, [8] was based on electron beam computed tomography (also known as ultrafast CT or EBCT). The score is calculated using a weighted value assigned to the ...

  3. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

  4. Coronary CT angiography - Wikipedia

    en.wikipedia.org/wiki/Coronary_CT_angiography

    Coronary CT angiography (CTA or CCTA) is the use of computed tomography (CT) angiography to assess the coronary arteries of the heart.The patient receives an intravenous injection of radiocontrast and then the heart is scanned using a high speed CT scanner, allowing physicians to assess the extent of occlusion in the coronary arteries, usually in order to diagnose coronary artery disease.

  5. Predictive value of tests - Wikipedia

    en.wikipedia.org/wiki/Predictive_value_of_tests

    Predictive value of tests is the probability of a target condition given by the result of a test, [1] often in regard to medical tests.. In cases where binary classification can be applied to the test results, such yes versus no, test target (such as a substance, symptom or sign) being present versus absent, or either a positive or negative test), then each of the two outcomes has a separate ...

  6. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).

  7. Likelihood ratios in diagnostic testing - Wikipedia

    en.wikipedia.org/wiki/Likelihood_ratios_in...

    This formula can be calculated algebraically by combining the steps in the preceding description. In fact, post-test probability , as estimated from the likelihood ratio and pre-test probability , is generally more accurate than if estimated from the positive predictive value of the test, if the tested individual has a different pre-test ...

  8. George Pickens injury update: Latest on Steelers WR's status ...

    www.aol.com/george-pickens-injury-latest...

    He's averaging 4.8 catches and 81.2 yards per game, scoring all three of his touchdowns with Wilson under center. This article originally appeared on USA TODAY: George Pickens injury update ...

  9. Prediction interval - Wikipedia

    en.wikipedia.org/wiki/Prediction_interval

    Given a sample from a normal distribution, whose parameters are unknown, it is possible to give prediction intervals in the frequentist sense, i.e., an interval [a, b] based on statistics of the sample such that on repeated experiments, X n+1 falls in the interval the desired percentage of the time; one may call these "predictive confidence intervals".