Sentences with phrase «using predictive modeling»

A well - written resume sample for Market Data Analyst mentions duties such as conducting research, determining the impact of marketing campaigns, creating models and graphics, discovering new marketplace trends, and using predictive modeling.
Using this predictive modeling, police officers are directed to patrol areas of expected crime for additional police attention.
This paper explains MDRC's framework for using predictive modeling in education.
Today, using predictive modeling and advanced customer experience technology, we can quantify level of customer involvement and identify intent on each page.
We also used predictive modeling to show we could predict, with some degree of accuracy, how creative people's ideas were (based on brain scans) that had already been published.»
Researchers then used these predictive models to understand — at the metabolic level — why some individuals experienced side effects to ribavirin, a drug used to treat hepatitis C, while other individuals did not.
Dr. Miller and colleagues are developing an app that uses the predictive model, the equations for which are published in the paper.
The application uses a predictive model to determine if you're the driver or a passenger for a trip.

Not exact matches

It's interesting to note that other industries that have a similar view of the customer lifecycle as the AARRR model have used predictive analytics to good effect.
«Most reputable data firms are using proven predictive modeling techniques on an individual level, whereas Cambridge was guilty of using fancy fake science terms on unwitting politicians who do not understand how data analytics work.
What data points is your analytics team using to create predictive models on what constitutes success and what does not.
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.
Data Science Leveraging data science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavior.
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.
Using the same data a logit regression model improves the predictive power of local elections to tell us who will win the most votes at the next general election, making correct predictions 86.21 % of the time.
The team used this information to build a predictive computer model capable of classifying the cancer status of unknown samples.
Now, a team of Italian physicists has developed a predictive theoretical model for heat flux in these materials, using atom - scale calculations.
By using statistical models with point spread information and Pomeroy's data, the statisticians had two sets of pretty accurate predictive probabilities.
These 3 - D models also can be used to assess and improve the predictive capabilities of the 2 - D models that government agencies and consulting companies use for predicting how floods will spread and the associated risks and hazards.
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 evolution.
Gerber co-directs UVA's Predictive Technology Laboratory, which uses data to create predictive models with the goal of promoting better decisiPredictive Technology Laboratory, which uses data to create predictive models with the goal of promoting better decisipredictive models with the goal of promoting better decision making.
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.
Using Model Predictive Control (MPC), the truck can drive by itself on narrow and winding roads.
According to the researchers, the findings can be used to improve predictive surveillance models with lead times of up to six months.
«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.
Tropsha and Min Shen, a recent Ph.D. graduate from his research group, developed predictive quantitative structure - activity relationship (QSAR) models using experimental data obtained by Kohn's group.
The research marks a major milestone and, while a long way from clinical use, it may speed stroke discoveries by providing a better, more predictive translational model.
These «hyper - predictive» models could be used to quickly predict which new chemical compounds could be promising drug candidates.
«Our aim is to incorporate our findings into predictive models of failure for these materials,» Falk said, «so that they can be optimized and used in applications that require materials that are both strong and fracture - resistant.»
The challenge is to use this evidence to test and improve the predictive skill of climate models
After this play phase, the robot builds a predictive model of the world, and can use this model to manipulate new objects that it has not seen before.
«We can use these molecules to create predictive models and see how changes in the environment altered microbial growth patterns and then, in a feedback loop, how these growth patterns affect the environment — how they create a model of ecological change.»
Dividing randomly the patient population in half, the team used data from one half to develop the predictive model, and then tested the model using data from the other half.
Chawla pointed out that a data - driven organization may make predictions on millions of instances of streaming data every day using an in - house predictive model.
«Models are being used to explore physical effects (scenarios) and as a predictive tool,» Andrew Callegari said in a Feb. 2, 1984 presentation for colleagues.
As we explain in our glossary item, climatologists use the concept of radiative forcing and climate sensitivity because it provides a very robust predictive tool for knowing what model results will be, given a change of forcing.
Research will aim to improve the predictive value of animal models for vaccine evaluation, provide consultancy on the selection of appropriate models, and develop innovative approaches to characterise in vivo antigen behaviour and host responses whilst reducing animal use.
I have been building a predictive model for PRDM9 binding sites using Affinity - Seq.
Our pharmacological evidence demonstrates the predictive validity of these models and further supports the use of CSDS mouse model and WKY rat model in future PTSD drug testing.
Your observations are contributing to a global database that will be used to by scientists to verify predictive models of mosquito population dynamics based on satellite data.
To study the stability of the tissue PMI predictive models we decided to evaluate the tissue performance irrespective of the training / testing partition used so far.
The results could lead to better predictive models to inform future decisions about energy production and use, and a better understanding of changes in the climate.
One potential reason for this discrepancy is that the laboratory tests used in animal models of the disease do not resemble the clinical assessments given to patients, and thus are not predictive of human memory performance.
Abstract: A novel predictive model of sexual orientation using epigenetic markers.
It is the first time that both models were compared using proprietary, very sensitive behavioral tests that may have the capability to increase even predictive drug testing in animals models of AD.
In the case of K = 10 (which is what we simulated), we can also look at which genes the predictive model is using for each cell type.
We are actively seeking a set of patient data that we can use to validate the biomarkers we have identified so we can create a comprehensive predictive model of response to allow us to better tailor treatment.»
According to Coffield et al., the technique used in the research was the following: «Each model was examined for evidence, provided by independent researchers, that the instrument could demonstrate both internal consistency and test — retest reliability and construct and predictive validity.
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