Results 21 to 30 of about 6,059,721 (190)
False Positive Computed Tomography Imaging for Coronavirus-2019
A 79-year-old female patient presented to the emergency unit with cough and severe shortness of breath. Due to a bilateral multilobular ground glass density result from thoracic tomography, the patient was admitted to intensive care with the preliminary ...
Mehmet Hüsamettin Akküçük +4 more
doaj +1 more source
False-positive report probability values for the current meta-analysis.
False-positive report probability values for the current meta-analysis.
Xiang-Hua Ye (8555394) +2 more
core +1 more source
The effect of divided attention on false memory depends on how memory is tested. [PDF]
In three experiments, we investigated the effects of divided attention on false memory, using the Deese/Roediger-McDermott (DRM) paradigm. In Experiments 1 and 2, participants studied six DRM lists with full attention and six in one of two divided ...
Holmes, Selina J. +4 more
core +5 more sources
False positive acetaminophen concentrations in icteric serum
Introduction: Serum concentrations of acetaminophen are measured to predict the risk of hepatotoxicity in cases of acetaminophen overdose and to identify acetaminophen use in patients with acute liver injury without a known cause.
L. de Jong +4 more
doaj +1 more source
False-positive results have been rarely investigated among uninsured minority women who undergo 3-D screening mammography. Here, we analyzed data from 21,022 women participating in the Breast Screening and Patient Navigation (BSPAN) program of North ...
Rasmi G. Nair +7 more
doaj +1 more source
False-positive report probability values for the association of CYP4F2 with HAPE risk.
False-positive report probability values for the association of CYP4F2 with HAPE risk.
Haiyuan Wang (1721239) +7 more
core +1 more source
False positive troponin: A true problem [PDF]
Cardiac troponins have a crucial role in diagnosing acute myocardial infarction, but have been considered by some authors to have a high false positive rate. Such opinions may decrease the confidence in troponin with important clinical consequences.
Koraćević Goran +2 more
doaj
True positive, false positive, false negative for category 1.
True positive, false positive, false negative for category 1.
Muddassar Azam Sindhu (8735385) +2 more
core +1 more source
Reducing false positives of steganalysis via classification of image-acquiring sources
In the real world, reducing false positive rates in the case of cover source mismatch (CSM) was a big challenge for steganalysis. A novel model was proposed to solve the problem.
Pei-tao YANG +2 more
doaj +2 more sources

