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Chatterjee, N. et al. Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies.
"But the performance of risk assets over the past 18 months shows that this was anything but a new normal".
We propose a new measure of assessing the performance of risk models, the area under the prediction impact curve (auPIC), which quantifies the performance of risk models in terms of their average health impact in the population.
For articles that met inclusion criteria, we extracted information on study design, predictive performance of risk models, and potential for bias.
Since the mining industries involves with people, equipments and materials as such involved in automated manufacturing industries, it becomes inevitable to study the performance of risk assessment techniques and preventive measures in these industries.
Figure 2 Predictive performance of risk stratification tools.
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This is a performance of risk-taking, unconditional emotional commitment.
Our objective was to evaluate the impact of including the highest mGCS score on the performance of risk-adjustment models and subsequent external benchmarking results.
This paper uses QV curve analysis to investigate the voltage instability performance of risk-based security-constrained optimal power flow (RB-SCOPF), where risk is modeled to capture the system's overall security level.
The aims of the study were the evaluation of performance of risk-adjusted models for early outcomes after oesophagectomy and to develop a score for severe complication prediction with special consideration regarding nutritional status.
Furthermore, Zhang et al. (2015) investigated the effect of estimation error on the performance of risk-adjusted survival time CUSUM scheme in continuous time with the cardiac surgery data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com