Sentence examples for diagnosis indicator from inspiring English sources
The genetic origin of renal diseases had been a focus of research in the past years; and some investigations found that the genetic alteration could become an early diagnosis indicator to predict the onset of some diseases [32], [33], [34].
Most of the studies, investigating the association between ACE I/D gene polymorphism and the response to steroid treatment, were performed in Asian children with INS and tried to explore whether the ACE I/D gene polymorphism could become an early diagnosis indicator to predict the treatment response to steroid.
However, no organ tissue-specific and tumor-specific epithelial cytokeratins exist; therefore, it cannot be used as a tumor diagnosis indicator.
These results provide a new perspective that serum glycoprotein could be used as a joint diagnosis indicator for estimation treatment outcome of viral hepatitis at earlier stage of therapy.
This may be due to our small sample sizes for some conditions which limited our ability to conduct a full comparison across all conditions and analytic files for the individual diagnosis indicator models across the three methods.
An increased uNGAL level has been reported to be an early diagnosis indicator of urinary tract infection [ 30]; additionally, white blood cells in urine have been found to be correlated with an increase in uNGAL concentration [ 31].
First, some of our models using individual diagnosis indicators failed to converge.
Statistics based on clinical practice has shown the high sensitivity and specificity in using those diagnosis indicators [ 16].
In particular, based on the scanning images of a swept-source OCT system, a few effective diagnosis indicators for oral cancer and precancer have been identified [ 15– 17].
The models with individual diagnosis indicators converged in all analytic files for all samples except in two analytic files of the DM sample.
The purpose of this study is to select the major tongue diagnosis indicators and evaluate their significance in discriminating the subtypes of Pattern Identification (PI) from stroke patients.
