Sentence examples for application of population-based from inspiring English sources

However, the application of population-based parameters (iterative approach) helped to reduce the systematic offset and the range of the RD (min, max), especially for the tumor up to three-fold (Table 3).

21 24 This reflects the intended application of population-based risk algorithms, which includes assessing resource allocation, equity issues, impact of population-wide prevention strategies and disease burden for different levels of exposure.

Prehepatic insulin secretion rates (ISRs) were calculated by deconvolution of peripheral C-peptide concentrations and application of population-based parameters for C-peptide kinetics, using the ISEC Software (33, 34).

The results represent a remarkable accomplishment and provide the scientific basis for future potential applications of DNA genotyping as part of population-based TB prevention and control activities in the United States.

These findings open the way to the application of these powerful technologies to biosamples collected over previous decades in the context of population-based or disease-oriented cohorts.

The use of population-based data, collected uniformly over the study period, and the application of period analysis to provide up-to-date survival estimates were the major strengths of this study.

The use of population-based biomonitoring information in risk assessment and other public health applications raises fewer ethical objections than the use of the same data when it is personally identified.

The basic idea is to join the fast convergence properties of gradient-based optimization methods with the wide exploration ability of population-based ones, which makes the developed algorithm a useful tool in real-time applications.

Second, viable cells are required for performing the cell cycle assay, which may limit its application in population-based studies of breast-cancer risk assessment and tumor response.

This paper presents the novel application of a collaborative population-based meta-heuristic technique called Particle Swarm Optimization (PSO) to the scheduling of home care workers.

According to Ahmadi and Ebadi (2014), Ahmadi et al. (2014a, b), and Fazeli et al. (2013), the application of non-population-based optimization methods such as simulated annealing and Levenberg Marquardt (LM) is not recommended due to their drawback in handling the nonlinearity in SVM methods.