Sentence examples for improved predictive models from inspiring English sources
The data can provide useful information for developing better operational guidelines for dispersant use and improved predictive models on dispersant effectiveness in the field.
His application of genetics to the study of twins and relatives led to improved predictive models that incorporate genetic factors, pushing toward primary prevention.
Temperature and precipitation data are already used to forecast meteorologically sensitive IDs, but more driver data could support improved predictive models covering a much broader range of IDs.
Equally important is its promise to provide improved predictive models for hazard identification, including the areas of quantitative structure activity relationships (QSARs) and other computational approaches; improved pollution prevention strategies; and high-throughput screening of chemicals for safety.
Assembling data sets of known quality would enable better assessments of bioaccumulation as well as the development of improved predictive models.
Rapid tests that are strongly correlated with pathogen densities are needed to support the development of improved predictive models of health risk.
However, cystatin C (13 kDa) and NGAL (25 kDa) are both middle-sized molecules, but their patterns of release in our cohort differed from that of endostatin, and neither improved predictive modeling.
An improved predictive model of response was identified by removing features in the 180-gene predictor that introduced noise.
Recent technology allows large-scale comparison of proteome profiles (Gold et al. 2010; SomaLogic 2016), and findings may improve predictive models for bipolar disorder.
The hope is that the geological information within this 10,000-year-timeframe could help scientists improve predictive models for how the Earth will react to an increase in carbon dioxide.
The drive to improve predictive models and design methodologies of fibre-reinforced polymer composites subjected to fatigue loading is reliant on more accurate and reliable methods for monitoring and assessing material degradation and fatigue life.
