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False negative readings can occur when testing is done too early. hCG levels rise rapidly in early pregnancy and the chances of false negative test results diminish with time (increasing gestational age). [22] Less sensitive urine tests and qualitative blood tests may not detect pregnancy until three or four days after implantation. [23]
BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
A biophysical profile (BPP) is a prenatal ultrasound evaluation of fetal well-being involving a scoring system, [1] with the score being termed Manning's score. [2] It is often done when a non-stress test (NST) is non reactive, or for other obstetrical indications. The "modified biophysical profile" consists of the NST and amniotic fluid index ...
The resulting test report should specify the assay method and equipment used, and the report of a quantitative test should also provide a reference range for the test result. Many laboratories report reference ranges that are based on all other samples tested in that laboratory, necessarily including samples with abnormal AFP concentrations due ...
The following example of a pregnancy test will make use of such an indicator. Modern pregnancy tests do not use the pregnancy itself to determine pregnancy status; rather, human chorionic gonadotropin is used, or hCG, present in the urine of gravid females, as a surrogate marker to indicate that a woman is pregnant.
negative: False negative, Type II error: True negative: False omission rate (FOR) = Σ False negative / Σ Predicted condition negative Negative predictive value (NPV) = Σ True negative / Σ Predicted condition negative
The rabbit test became a widely used bioassay (animal-based test) to test for pregnancy. The term "rabbit test" was first recorded in 1949, and was the origin of a common euphemism, "the rabbit died", for a positive pregnancy test. [4] The phrase was, in fact, based on a common misconception about the test.