Examples of using Predictive value in English and their translations into Bulgarian
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Medicine
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Colloquial
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Official
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Ecclesiastic
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Ecclesiastic
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Computer
Predictive Value.
Positive predictive value.
Predictive Value.
Negative predictive value.
Predictive value of the FEV1 data.
It has a high negative butlow positive predictive value.
Positive predictive value(9.5% of the overall population are EGFR mutation-positive(M+)).
Negative prick skin tests have a high negative predictive value.
These tests have a good negative predictive value in the general population.
Financial information need not be a prediction orforecast to have predictive value.
A positive predictive value of tissue fluorescence of 84.8% 90% CI.
The D-dimer test is used for its negative predictive value.
The positive predictive value of strong fluorescence was higher 100.0%; 90% CI.
In the same prevalence range the positive predictive value was in the range 52-72%.
For bowel obstruction, constipation is the symptom with the highest positive predictive value.
A positive predictive value of tissue fluorescence of 84.8%(90% CI: 70.7 %-93.8%) was found.
Then they learned that the more varied the surplus the higher its predictive value.
It possesses a precise predictive value as well as a deep interpretation of the movement….
Consequently, each single test cannot attain perfect sensitivity,specificity, or predictive value.
A perfect positive predictive value(PPV) and a considerable impact on management were reported.
For some diagnoses, such as appendicitis,the location of pain has a very strong predictive value.
The predictive value of a positive antiovarian antibody for poor pregnancy outcome after IVF/ET is 82%.
Future work will explore whether finding an EGFR mutation in the circulation has any predictive value.
Predictive value is low due to the relatively large amount of false positive results.
Negative nitrite and negative leukocyte have a 95 per cent negative predictive value.
The negative predictive value for sustained response in patients treated with PegIntron in monotherapy was 98%.
INMARK® is a first clinical study that was targeted at evaluating the predictive value of biomarkers in patients with IPF, receiving antifibrosis therapy(nintedanib).
A positive predictive value of 50%(52/104; Study 1) was observed for HCV/HIV co-infected patients receiving bitherapy.
Patients who fail to achieve virological response at 6 months are highly unlikely to become sustained virological responders(negative predictive value 96%).
The positive predictive value ranged from 78.9% to 84.4% and the negative predictive value from 86.1% to 88.7%.