Sentences with phrase «in predictive models»

This information will help to better represent these cycles in predictive models such as climate simulations.

Under deep uncertainty in predictive models, we should ask: What's the worst that can happen * Before * we have time to react.

Furthermore, methanesulfonic acid generated simultaneously in OSC oxidation will become a significant contributor to particle formation, which should be taken into account in predictive models of air pollution and climate and may be especially important in agricultural areas with significant OSC sources.

In our predictive models, we wanted to account for several important factors that are likely related to teachers» content coverage.

In project on BRAF - mutant melanoma and EGFR - mutant non-small cell lung cancer, we conceived a novel drug sensitivity metric, the DIP rate, that makes it possible to incorporate drug - induced proliferation rates in predictive models of response.

These anomalies in our predictive model end up being one of two things: a bad adjustment by NCDC or a local area where our model does nt fully capture the climate with the current regressors.

But statistics do play a role as well, as they do in predictive modeling generally.

In an earlier report of type 2 diabetes (23), we showed that of three groups of variables included in a predictive model (demographics, disease status, and family characteristics), only disease impact and family financial stress were significant, independent contributors to both depressive affect and anxiety among both European - American and Latino patients, with family conflict resolution as a significant predictor only for European - American patients.

«We will all start doing a better job in predictive modeling, sourcing leads and fully understanding the ROI of different emerging marketing activities.

Not exact matches

«With our analysis and predictive models, Own the Podium will be able to make new funding decisions that will better help Canadian athletes train, compete and dominate on the world stage,» said Canadian Tire senior vice-president Duncan Fulton in a press released this week.

Terranova gives the example of car manufacturers that need to marry proprietary engineering data with customer feedback in order to build accurate predictive models for vehicle maintenance problems.

«If there's strength in the model, we'll take the next step toward the predictive element,» Cahill said.

Fedo works with health insurance providers in the B2B sector, along with having plans of working with state governments in India to develop predictive healthcare models.

Employers believe that Social Media Marketing will be the most in - demand HR skill by year 2020, followed by Data Analysis and Predictive Modeling.

The campaign then did its own field surveys in battleground states to develop a more precise predictive model based on issues preferences.

These more structured data resources then provide the means for yet another application of AI - based algorithms, where the focus is on identifying patterns in data that ultimately provide the basis for predictive sales and marketing models.

In contrast to claims being made for his technology in the 2014 contract, Kogan himself claimed in a TV interview earlier this month (after the scandal broke) that his predictive modeling was not very accurate at an individual level — suggesting it would only be useful in aggregate to, for example, «understand the personality of New Yorkers»In contrast to claims being made for his technology in the 2014 contract, Kogan himself claimed in a TV interview earlier this month (after the scandal broke) that his predictive modeling was not very accurate at an individual level — suggesting it would only be useful in aggregate to, for example, «understand the personality of New Yorkers»in the 2014 contract, Kogan himself claimed in a TV interview earlier this month (after the scandal broke) that his predictive modeling was not very accurate at an individual level — suggesting it would only be useful in aggregate to, for example, «understand the personality of New Yorkers»in a TV interview earlier this month (after the scandal broke) that his predictive modeling was not very accurate at an individual level — suggesting it would only be useful in aggregate to, for example, «understand the personality of New Yorkers»in aggregate to, for example, «understand the personality of New Yorkers».

Typical financial processes used in business decisions such as formulary and benefit design, new product launching, budgeting and forecasting, and predictive modeling are not provided by PBMs» rebate tools.

Using cutting - edge blockchain and artificial - intelligence principles to traditional B2C and B2B marketplace models, Crowdz automates product search & sourcing, accelerates commercial transactions, and streamlines predictive - data analytics in ways never before possible.

In addition, BlitzPredict wants to incentive sports analytics expects to create reliable predictive models, stand by their predictions, and build a following that helps sports enthusiasts make informed decisions.

This leads to a significant reduction in computational time without hindering the predictive power of the model.

In her free time, Vivienne has developed a predictive model of diabetes to better manage the glucose levels of her diabetic son and systems to predict manic episodes in bipolar sufferIn her free time, Vivienne has developed a predictive model of diabetes to better manage the glucose levels of her diabetic son and systems to predict manic episodes in bipolar sufferin bipolar suffers.

This dataset contains millions of genomic sequences from a diverse set of rice varieties that, when combined with phenotyping observations, gene expression, and other information, provides an important step in establishing gene - trait associations, building predictive models, and applying these models to breeding.

Predictive modelling and data science are critical in formulation science when attempting to improve the quality of products through enhanced textures and flavours.

This is the start of the project and predictive, quantitative models are still in the early stages of development.

To assess the robustness of the results of our regression analysis, we performed covariate adjustment with derived propensity scores to calculate the absolute risk difference (details are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org).14, 15 To calculate the adjusted absolute risk difference, we used predictive margins and G - computation (i.e., regression - model — based outcome prediction in both exposure settings: planned in - hospital and planned out - of - hospital birth).16, 17 Finally, we conducted post hoc analyses to assess associations between planned out - of - hospital birth and outcomes (cesarean delivery and a composite of perinatal morbidity and mortality), which were stratified according to parity, maternal age, maternal education, and risk level.

Predictive factors with a Pvalue ≤.10 were retained in the model.

This project will bring together an interdisciplinary team of researchers from analytical sciences, predictive modelling, law, criminology and business studies, and will contribute to consumer confidence and trust in UK food supply chains.

Syracuse has tried to cut down on the number of water main breaks by developing a predictive analytics model to determine where breaks are most likely to occur based on the age of pipes and the frequency of breaks in the area.

«It is complementary to traditional methods such as eye - tracking and focus groups, bringing into play an automated, predictive model for determining visual effectiveness in the creative process.»

According to ClickZ's crack online advertising reporter Kate Kaye, OFA is filling positions for «predictive modeling and data mining analysts who would be responsible for developing statistical and predictive models to assist in digital media, as well as for fundraising and other media.»

«We were able to model these molecules in a way that was really predictive,» said Rafael Gómez - Bombarelli, a postdoctoral fellow in the Aspuru - Guzik lab and first author of the paper.

However, while they are valuable tools in a broad range of fields, predictive models are still plagued by uncertainties, or errors, and a great deal of effort is directed at determining the extent and effects of these errors.

In order to improve the predictive power of climate models, it is now crucial to understand the biological processes in the soil better, say the scientistIn order to improve the predictive power of climate models, it is now crucial to understand the biological processes in the soil better, say the scientistin the soil better, say the scientists.

Now, a team of Italian physicists has developed a predictive theoretical model for heat flux in these materials, using atom - scale calculations.

In the new study, Professor Pisani and colleagues used cutting edge statistical techniques (Posterior Predictive Analyses) to test whether the evolutionary models routinely used in phylogenetics can adequately describe the genomic datasets used to study early animal evolutioIn the new study, Professor Pisani and colleagues used cutting edge statistical techniques (Posterior Predictive Analyses) to test whether the evolutionary models routinely used in phylogenetics can adequately describe the genomic datasets used to study early animal evolutioin phylogenetics can adequately describe the genomic datasets used to study early animal evolution.

In this review, we highlight research progress and gaps that have emerged during the past decade and develop a predictive framework that integrates knowledge from ecophysiology and community ecology with modeling approaches.

Having an accurate, predictive model in mice is a proof - of - principle that such a model could also work for human patients in a hospital setting.

In the most thorough study of its kind, scientists have now analyzed global patterns of island vertebrate extinctions and developed predictive models to help identify places where conservation interventions will provide the greatest benefits to threatened island biodiversity.

A new Journal of Internal Medicine article proposes that artificial intelligence tools, such as machine learning algorithms, have the potential for building predictive models for the diagnosis and treatment of diseases linked to imbalances in gut microbial communities, or microbiota.

In several other studies, including a number that examined flooding in the Clear Creek watershed, Blessing, Brody, Sebastian and SSPEED colleagues have shown that other approaches, like distributed hydrologic modeling and probabilistic flood plain mapping, can be far more predictive of flood damages and flood risIn several other studies, including a number that examined flooding in the Clear Creek watershed, Blessing, Brody, Sebastian and SSPEED colleagues have shown that other approaches, like distributed hydrologic modeling and probabilistic flood plain mapping, can be far more predictive of flood damages and flood risin the Clear Creek watershed, Blessing, Brody, Sebastian and SSPEED colleagues have shown that other approaches, like distributed hydrologic modeling and probabilistic flood plain mapping, can be far more predictive of flood damages and flood risk.

This predictive model could be used to figure out what these side effects are ahead of time,» said UC San Diego alumnus Aarash Bordbar, who did this research while a Ph.D. student in Palsson's Systems Biology Research Group.

Though the most infamous of these efforts, called Project Camelot, focused on preventing insurgency in Latin America, other projects looked more broadly at using social sciences to help guide military actions, and like current efforts, they included quantitative and predictive uses of social science models.

Predictive models estimate that by 2020 one in every 1,600 adults in the U.S. will be affected by the disease.

We want our climate model to be representative of the processes going on, in order to be predictive of how carbon storage responds to global change.»

«We wanted to come up with a predictive equation that could be applied early in the patients» hospitalization with things that were easily available rather than a model that uses a lot of calculations and a lot of going back and digging through patient charts,» Dr. Miller said.

They in turn might not be completely predictive of the observations in animal models, let alone human beings.

Dr. Miller and colleagues are developing an app that uses the predictive model, the equations for which are published in the paper.

«A fancy model isn't necessarily a better model,» says David Robinson, who studies predictive analytics and governance at Georgetown University in Washington, D.C., but wasn't involved in the new work.

To develop their predictive model, Dr. Miller and colleagues evaluated 57,588 patients in the National Trauma Data Bank over age 50 who had blunt trauma with isolated brain injury.