Developed predictive models and statistical analysis for external clients and internal business performance.
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.
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 suffers.
Their study combines engineering epidemiology and statistical - data analytics to
develop predictive models for environmentally exposed applications.
Based on the results of that test, Beaty and colleagues
developed a predictive model and tested against brain scan data collected for earlier studies on creativity.
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.
But if they were going to
develop a predictive model, Johnson and his team would have to figure out what it was about the behavior of insurgents and terrorists that made their bloody fingerprints so similar all around the world.
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.
We now have the necessary tools to
develop these predictive models and improve the treatment of PTSD, which offers great hope for patients.
Moreover, PHENONIM - ICS is involved in European projects presenting a strong impact on human health: Interreg CARDIOGENE (Genetic mechanisms of cardiovascular diseases), GENCODYS (Genetic and epigenetic networks involved in cognitive dysfunctions), AgedBrainSYSBIO (Basic studies of brain aging), as well as projects in partnership with industry: MAGenTA (an Industrial Strategic Innovation project supported by Bpifrance about the treatment of major urogenital diseases) and CanPathPro (H2020 program), to
develop a predictive modeling platform of signaling pathways involved in cancers.
This framework will be built upon available open - source deep learning platforms that can be adapted to address different aspects of the cancer process as represented by JDACS4C's challenge topics: 1) understand the molecular basis of key protein interactions; 2)
develop predictive models for drug response; and 3) automate the extraction and analysis of information from millions of cancer patient records to determine optimal cancer treatment strategies.
I also work as part of research team to
develop predictive models in equity and commodities prices, volatilities and correlations using mathematical and statistical...
Not exact matches
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.
The campaign then did its own field surveys in battleground states to
develop a more precise
predictive model based on issues preferences.
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.
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.»
Ruichen
developed a theoretical
predictive model and carried out the empirical testing, and the two of them correlate beautifully,» he added.
Now, a team of Italian physicists has
developed a
predictive theoretical
model for heat flux in these materials, using atom - scale calculations.
The authors of this work are continuing to
develop new applications, with particular emphasis on a future 5D dynamical
model that will improve
predictive accuracy even further.
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.
Dr. Miller and colleagues are
developing an app that uses the
predictive model, the equations for which are published in the paper.
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 method
developed by the team led by Brown and Yu, iterative Random Forests (iRF), builds on an algorithm called random forests, a popular and effective
predictive modeling tool, translating the internal states of the black box learner into a human - interpretable form.
FIRST aims to
develop scientific understanding and validated,
predictive models of the nanoscale environment at fluid — solid interfaces important in electrical energy storage and electrocatalysis.
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.
We are
developing new analytical software tools that are founded in rock physics, but that also draw from
predictive technology, machine learning, geological uncertainty analysis and geoscience
modelling.
Developing such
predictive models can help us to identify who would benefit most from immediate care following trauma and which type of care would be best.
An international group of scientists from 6 countries bring together their expertise to
develop a combined experimental and systems biology platform for
predictive modelling of cancer signalling.
Christina's research leverages genome - scale data, coupled with computational
modeling and iterative experimentation in order to define the molecular determinants and dynamics of tumor progression and to
develop predictive and prognostic biomarkers.
They are
developing novel computational approaches that combine molecular interaction and pathway information with «omics data to
develop clinically
predictive models and identify therapeutically targetable pathways.
PREDICTIVE ANALYTICS FOR STUDENT SUCCESS: Developing Data - Driven Predictive Models of Stude
PREDICTIVE ANALYTICS FOR STUDENT SUCCESS:
Developing Data - Driven
Predictive Models of Stude
Predictive Models of Student Success
Toward that end, the association has
developed an accountability tool for measuring charter school performance that uses a regressive - based
predictive model to filter out non-school effects on the students.
Real estate technology firms are streamlining the capital formation process between real estate operators and their investors by
developing a comprehensive suite of tools that include dashboards, machine learning and
predictive modeling to augment the human element of real estate sourcing, underwriting and investing.
eg pg xii To improve our
predictive capability, we need: • to understand better the various climate - related processes, particularly those associated with clouds, oceans and the carbon cycle • to improve the systematic observation of climate - related variables on a global basis, and further investigate changes which took place in the past • to
develop improved
models of the Earth's climate system • to increase support for national and international climate research activities, especially in
developing countries • to facilitate international exchange of climate data
Throughout its life, the USGCRP has created and maintained a mix of atmospheric, oceanic, land, and space - based observing systems; gained new theoretical knowledge of Earth System processes; advanced understanding of the complexity of the Earth System through
predictive modeling; promoted advances in computational capabilities, data management, and information sharing; and
developed and harnessed an expert scientific workforce.
Yes, but observation was critical in
developing the computational
models in the first place and the
models only have
predictive power in the range of the data used to derive them.
Instead climate scientists have
developed scientific
predictive techniques (aka computer climate
models) that are informed by the paleoclimatic data we have, but that also incorporate the differences between the climate of modern humanity and the analyzed paleoclimates into their analyses.
The best way to prepare for the inevitable top - end shifts that will occur in your firm is to do
predictive modelling to identify the gaps well in advance, and to actively
develop your future leaders.
Biographical Inventories We
develop a firm - specific
predictive model that determines whether biographical factors are correlated positively or negatively with performance, and we use this
model to identify the job candidates who are most likely to succeed at your firm.
The
predictive models are
developed either by a third party (such as Lexis - Nexis) or in - house by the insurance carrier.
The campaign then did its own field surveys in battleground states to
develop a more precise
predictive model based on issues preferences.
Many retailers have gone on to
develop their own
predictive models, but this has not become ubiquitous.
Evan has a deep interest in modern Machine Learning techniques and is currently
developing proprietary talent acquisition
predictive models as a core feature of the product.
Developing test plans and applying
predictive modeling relevant to client objectives and generate data driven targeting strategies for customer acquisitions and retention
Senior Data Scientist Company: Plymouth Rock Assurance Corporation Posted on: 2018-03-23 19:19:34 Category: Insurance Location: Boston, MA Title: Senior Data Scientist Boston, MA Description: Use internal and external data to build new
predictive models and
develop analytical
modeling techniques for insurance pure premiums, customer (more...)
Developed intricate algorithms based on deep - dive statistical analysis and
predictive data
modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.
Karlsruhe, Germany About Blog Blue Yonder, a company that uses algorithms
developed for processing the data created as part of the CERN project for
predictive modelling, regularly posts updates on its work and developments in Germany's Big Data ecosphere.
The effect of family influences during youth and early adolescence on later young adult inflammatory processes are anticipated by
predictive adaptive response (PAR)
models (Gluckman et al., 2005; Rickard and Lummaa, 2007), which note that if earlier family circumstances signal increased probability of future injury and / or pathogen exposure, it is potentially adaptive to prepare a
developing young person to have greater inflammatory response potential (cf. Cole et al., 2011).
Considering the relevance of the affective dimension of the psychopathic personality in developmental and
predictive models of youth conduct problems, the Inventory of Callous - Unemotional traits (ICU) has been
developed as a reliable and effective measure of callous — unemotional traits (CU) in childhood and adolescence.