A 1-point worsening in National Institutes of Health Stroke Scale score provided excellent discrimination (86% specificity; 84% sensitivity) of type I outcomes.
The human immune system is a complex, adaptive and highly distributed system that exhibits the behaviors of autonomy, self-organizing, distributivity, fault tolerance, robustness, learning and memory, which is underpinned by a set of theories including the immune discrimination and specificity theories.
To achieve higher discrimination and specificity of the in-house developed AS-PCR primers, a mismatch was created three or four bases upstream from the 3′ end of the primers.
In addition to the overall shape complementarity, the number of local intermolecular hydrogen bonds observed between the kinase antigens and the residues from the antigen-recognition sites provide a high degree of epitope discrimination and specificities (Supplementary Figures S3B and S3D).
Among the 411 biological metrics calculated from our site-specific data, we selected metrics exhibiting the best trade-off between high discrimination efficiency, low specificity, low redundancy, and high stability under reference conditions.
Further, it could help to fine-tune the systems in terms of specificity, discrimination, and binding constants.
A 2-point worsening in Mini-Mental State Examination score provided only fair discrimination (73% specificity; 62% sensitivity) of type II outcomes.We used baseline controls and postoperative worsening in National Institutes of Health Stroke Scale and Mini-Mental State Examination scores to predict both serious adverse neurologic outcome and deterioration of intellectual function.
The automated model also had better discrimination, sensitivity and specificity than the previously published MEWS.
Using a 0.6 cutoff the predictive model demonstrated good discrimination (sensitivity 66%, specificity 88%, ROC curve 85.6%) and calibration (Χ 7.5982; P=0.47.5982
