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  • sensitivity
  • This app gives the sensitivity and specificity of thousands of medical tests, with literature citations included. (apple.com)
  • Sensitivity and specificity are the probability of a correct test result in subjects with and without a condition respectively. (analyse-it.com)
  • Another way to understand in the context of medical tests is that sensitivity is the extent to which true positives are not missed/overlooked (so false negatives are few) and specificity is the extent to which positives really represent the condition of interest and not some other condition being mistaken for it (so false positives are few). (wikipedia.org)
  • Because most medical tests do not have sensitivity and specificity values above 99%, "rarely" does not equate to certainty . (wikipedia.org)
  • But for practical reasons, tests with sensitivity and specificity values above 90% have high credibility, albeit usually no certainty, in differential diagnosis . (wikipedia.org)
  • Sensitivity therefore quantifies the avoiding of false negatives , and specificity does the same for false positives . (wikipedia.org)
  • For any test, there is usually a trade-off between the measures - for instance, in airport security since testing of passengers is for potential threats to safety, scanners may be set to trigger alarms on low-risk items like belt buckles and keys (low specificity), in order to increase the probability of identifying dangerous objects and minimize the risk of missing objects that do pose a threat (high sensitivity). (wikipedia.org)
  • the sensitivity or the specificity of the test will remain unchanged. (coursera.org)
  • These are mainly the specificity , the sensitivity , and the positive (PPV) and negative (NPV) predictive values . (corisbio.com)
  • Specificity is defined as the proportion of true negative samples, as measured by a gold standard, which are so identified by the diagnostic test under study while sensitivity is defined as the proportion of true positive samples, as measured by a gold standard, which are identified as positive by the test under study. (corisbio.com)
  • Sensitivity and specificity are statistical measures of the performance of a binary classification test, also known in statistics as classification function: Sensitivity (also called the true positive rate, the recall, or probability of detection in some fields) measures the proportion of positives that are correctly identified as such (e.g. the percentage of sick people who are correctly identified as having the condition). (wikipedia.org)
  • comparable
  • Instead, it was intended only to give courts jurisdiction over violations accepted by the civilized world and defined with specificity comparable to the features of the 18th-century paradigms (piracy, ambassadors, and safe conduct). (wikipedia.org)
  • mainly
  • Originally asset specificity is proposed mainly in a buyer-seller situation, where the buyer is the party that does not hold the specific assets and the seller is the party that holds the specific assets. (wikipedia.org)
  • proportion
  • Specificity (also called the true negative rate ) measures the proportion of negatives that are correctly identified as such (e.g. the percentage of healthy people who are correctly identified as not having the condition). (wikipedia.org)
  • value
  • When you add them all up, hey presto, you have a specificity value. (htmldog.com)
  • the specificity value would be 122 ( 0,1,2,2 or 0122): 100 for #content, 10 for .data, 10 for :hover, 1 for body and 1 for img. (smashingmagazine.com)
  • 1987) made an important addition to the above list: Time specificity, an asset is time specific if its value is highly dependent on its reaching the user within a specified, relatively limited period of time. (wikipedia.org)
  • true
  • Specificity (true negative fraction, TNF) measures the ability of a test to detect the absence of the condition when it is not present. (analyse-it.com)
  • Science
  • Domain specificity is a theoretical position in cognitive science (especially modern cognitive development ) that argues that many aspects of cognition are supported by specialized , presumably evolutionarily specified, learning devices. (wikipedia.org)