Sentences with phrase «in predictive analysis»

However, its application is primarily targeted at improvement of their internal systems, such as billing and document production, or in predictive analysis using AI software.

In predictive analysis, Lu hopes to use the system to take in signals with noise, like static from far - off radio stations, and produce a cleaner stream of data.

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.

For example, Endicia uses package data and predictive analysis to guide ecommerce business owners» decisions, ranging from where to plant warehouses to how to improve delivery for the end - consumer through forecasted shipping costs and time in transit.

Willy Schlacks told me that he sees an even bigger opportunity in more advanced analytics, such as using predictive analysis to lower maintenance costs, using drones to monitor entire construction sites and aggregating data so that contractors can measure their performance against industry benchmarks.

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

Predictive markets provide actionable information that people in the consulting, research, and analysis industries use to curate targeted insights for making educated decisions.

Lately, more and more, Bitcoin traders and cryptocurrency traders are concluding that volume analysis and volume indicators are more predictive and more recommendable tools in forecasting the next price move of Bitcoin and other cryptocurrency.

To identify the best funds within a given category, investors need a predictive rating based on analysis of the underlying quality of stocks in each fund.

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.

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.

Quantitative and predictive analyses are skills acquired on the job, but are essential to increase the chances of success in the clinic.»

Now we have a valuable tool that, thanks to computer - based statistical analysis, can be used to broaden our predictive capabilities in a very wide range of applicative avenues, from biophysics to biomedicine.»

In tests on 8 patients based on collaborations with NYU and Cornell University medical centers, the CSHL testing method yielded assessments of tumors that more closely matched the verdict of post-surgical pathological analysis (which reveal actual pathology) than the corresponding pre-surgical predictive biopsies, according to first author Joan Alexander, Ph.D..

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.

In the next decade, molecular research is going to further develop along five lines: predictive medicine, that investigates the genetic conditions predisposing to tumor risk; early molecular diagnosis; the evaluation of each patient's prognosis based on his / her genetic profile, in other words, the analysis of what kind of mutation affects the DNA of altered cells; the investigation of the individual response to drugs, based on our genetic knowledge; «smart drugs», molecules able to hit the target in a selective way, killing only the deprogrammed cells.&raquIn the next decade, molecular research is going to further develop along five lines: predictive medicine, that investigates the genetic conditions predisposing to tumor risk; early molecular diagnosis; the evaluation of each patient's prognosis based on his / her genetic profile, in other words, the analysis of what kind of mutation affects the DNA of altered cells; the investigation of the individual response to drugs, based on our genetic knowledge; «smart drugs», molecules able to hit the target in a selective way, killing only the deprogrammed cells.&raquin other words, the analysis of what kind of mutation affects the DNA of altered cells; the investigation of the individual response to drugs, based on our genetic knowledge; «smart drugs», molecules able to hit the target in a selective way, killing only the deprogrammed cells.&raquin a selective way, killing only the deprogrammed cells.»

«In the preplanned biomarker analysis, the expression of pSTAT3 detected by immunohistochemistry was both a prognostic marker and a predictive biomarker of benefit from napabucasin,» the researchers wrote.

Understanding how this changes over time in conjunction with genetic analysis may permit the generation of predictive tools to identify patients at risk of developing cancer and those that are not.

Therefore the group: i) characterizes the specificity of these antibody responses to identify relevant targets for a vaccine; ii) developes new approaches to test antibody responses; and iii) adoptes the immunological analysis in preclinical (in rabbits and macaques) and clinical vaccines studies to identify predictive signatures for the development and prioritization of new HIV - 1 vaccine candidates.

As ER - α is considered a reliable biomarker in immunohistochemical analyses and is already used to guide endocrine treatment it would be a suitable treatment predictive marker for antiangiogenic therapies.

There are many Predictive Learning Analysis tools to choose from, and the ones you invest in will depend on the particular needs of your company.

Using both quantitative and qualitative analyses, we will evaluate the hypotheses that: a) Classroom teachers can successfully and consistently integrate a CEMS approach in their algebra instruction, b) Students» procedural flexibility, procedural knowledge, and conceptual knowledge for a variety of algebra topics can be reliably assessed and each type of knowledge is positively related and predictive of one another over time, and c) Integrating a CEMS approach supports better procedural flexibility, conceptual knowledge, and procedural knowledge for a variety of algebra topics (units) than business as usual instruction.

There is little evidence that candlestick patterns and technical analysis in general have any predictive power.

We used a swap set analysis that captures both the change in consumer distribution across the FICO ® Score range and the improved predictive value over the prior version of the score in use today by the industry (FICO ® Score 5).

The cats and dogs in the long tail of the distribution deserve further analysis, since understanding what features are predictive of a long wait for a new home might lead to new strategies for accelerating their adoptions.

Follow - up receiver operating characteristic (ROC) analysis on sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) was performed in an effort to assess clinical diagnostic relevance.

Arguing precision and degrees of freedom in a proxy statistical analysis absent a predictive theory of tree response is like Christians and Muslims arguing theological niceties absent the analytical historical methods adjudicating whether Jesus or Muhammad ever lived.

A stern lesson from history Wyatt / Curry stadium waves require confirmation from analysis and computation; otherwise they risk being regarded as one more statistics - driven model, of which the climate literature already contains innumerably many... this large corpus of cycle - seeking pure - statistics climate models is (rightly) ignored by most scientists, due to the dismal track record of cycle - seeking science in regard to explanatory and predictive power.

In the latter case, anything that helps to improve the predictive power of the scientific ENSO analysis would be even more important than it is already today.

Mark Osbeck's visionary glimpse of the future posits that technological changes in non-traditional sources mean that new forms of case forecasting will take center stage to transform the predictive analysis that is at the center of much legal research.

The Judge addressed the specific issues that arise when dealing with a decision based in part on scientific assessments which involve a predictive element and held that the Reviewing Judge had been inappropriate in entering into his own analysis of the reliability of the scientific evidence before him.

Gathering a large enough body of information to create a robust database capable of accurate predictive analysis would appear challenging in our jurisdiction, where we have a much smaller volume of cases that most American jurisdictions.

JS: In the litigation arena where I practice, aside from predictive outcomes and online dispute resolution, lawyers can expect to see programming that allows their smart devices to synthesize Complaints or Answers in a matter of minutes and provide them with an almost immediate analysis of relevant case or statutory laIn the litigation arena where I practice, aside from predictive outcomes and online dispute resolution, lawyers can expect to see programming that allows their smart devices to synthesize Complaints or Answers in a matter of minutes and provide them with an almost immediate analysis of relevant case or statutory lain a matter of minutes and provide them with an almost immediate analysis of relevant case or statutory law.

And while in recent years the use of formal office memoranda has declined somewhat, giving ground to less expensive alternatives, such as informal email memoranda and oral research reports, the underlying, element - focused predictive analysis lawyers use to evaluate likely case outcomes has not changed.

Predictive analysis is no less important in the civil arena.

Predictive coding continues to make inroads in eDiscovery demonstrating that software analysis is more accurate and faster that hordes of associate lawyers clicking on documents on screens.

In fact, Mr Thio, in his article, explicitly mentioned that «senior lawyers will not be spared either: the development of predictive analysis software has meant that the experience and intuition that we value can now be replaced with a computer's predictions as to the outcome of a case or its likely settlement value» (read the original article hereIn fact, Mr Thio, in his article, explicitly mentioned that «senior lawyers will not be spared either: the development of predictive analysis software has meant that the experience and intuition that we value can now be replaced with a computer's predictions as to the outcome of a case or its likely settlement value» (read the original article herein his article, explicitly mentioned that «senior lawyers will not be spared either: the development of predictive analysis software has meant that the experience and intuition that we value can now be replaced with a computer's predictions as to the outcome of a case or its likely settlement value» (read the original article here).

When purchasing and using predictive analysis, in - house counsel needs to not condone any practices that may be illegal from a privacy perspective.

When respondents were asked for their perspectives on AI and its effect on the legal industry, 71 % predicted it would have the biggest impact on electronic discovery in the areas of case assessment and predictive coding (TAR), coming in next at 41 % was document automation, followed by legal research (40 %), contract analysis / automation (34 %), and case / outcome prediction (24 %).

Sure, judge, lawyer and venue selection will be gamed using artificial intelligence and predictive analysis in a Moneyball fashion; they already have.

Predictive analytics is akin to a baseball pitcher using analysis to determine how an opposing batter performs in certain situations and then deciding what pitch to throw.

As the speakers from «Harnessing Predictive Analytics to Drive Client Growth and Retention» explained, conventional wisdom (not analysis) leads marketing strategies resulting in most firms:

The article argues that in its idealized form, predictive policing can contribute to the reasonable suspicion analysis and would survive constitutional scrutiny under existing Fourth Amendment precedent.

By Monica Bay at 10:20 AM in Books, Commentary & Analysis, Institutes & Think Tanks, Judicial Conference - Rules, Judiciary, Predictive / Computer - aided Coding, Preservation & Legal Holds, Product Review, U.S. Supreme Court, White Papers Permalink Comments (0) TrackBack (0)

With the rise of artificially intelligent systems and the explosion in data volume, the opportunity and expectation is for AI to do more of what current knowledge managers do, as well as exceed them with more complex predictive analysis.

Our in - house document collection and analysis tools, including the use of technology - assisted review (such as predictive coding) help to increase efficiencies, find the important documents sooner, and reduce costs.

While the company has explicitly denied its interest in building a predictive policing engine, claiming that it «will not make predictions on behalf of our customers,» the industry report makes plain reference to its desire to «automate the collection and analysis of virtually all information in public safety while extracting key insights never before possible.»

By applying principles of predictive analysis to reduce risk in cybersecurity, as in other types of crime prevention, is it possible to stem the tide?

«HR is looking at doing something descriptive with data analysis — how many people do we have in this department; then predictive — when do people leave and are there trends; and finally action, such as, can I step in with a career opportunity if someone is thinking about leaving?»

Provided cost level analysis, custom report data, predictive modeling and advice to the Senior Business manager and Operations Managers in charge of the Dell account at [company name].