Examples of using Predictive in English and their translations into Spanish
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Higher predictive accuracy and reliability.
On the other hand,positive predictive factors are.
Predictive variables of lung cancer risk in smokers.
Case Studies from Law Enforcement- Predictive Policing.
Predictive factors of subject well-being in older people.
People also translate
Psychological factors predictive of healthy lifestyles.
Predictive is the new requirement for virtualised infrastructure.
One of the main tools of predictive maintenance is the analysis of vibrations.
Predictive MRI biomarkers of treatment response in MS.
Another benefit of Aurora's enterprise smart lighting is predictive maintenance.
No factors predictive of mortality at 2 years were identified Conclusions.
Agencies& and how they are aligning their future operation around Big Data Predictive Analytics.
The Predictive Image technical team is growing and welcomes Pauline Serre!
Take total control with real-time data andsmart analytics for predictive maintenance.
View Predictive is the new requirement for virtualized infrastructure| HPE.
Artificial intelligence in the cloud enables predictive maintenance and increases performance.
Predictive factors of eosinophilic esophagitis in esophageal food bolus impaction.
The conventional model contains relatively little by way of predictive or forward looking information.
Predictive tools for prostate cancer staging, treatment response and outcomes.
The stored data can be used for predictive maintenance and process optimization.
Predictive is the new requirement for virtualized infrastructure Download Download.
Learn how TeacherMatch* software uses predictive analytics to streamline teacher hiring.
Predictive forecasting ensures you're always staffed to meet customer demand.
With condition monitoring functions we enable predictive maintenance, which saves time and money.".
Infographic: Predictive is the new requirement for virtualised infrastructure Infographic.
Resources Infographic: Predictive is the new requirement for virtualized infrastructure.
The predictive variables were sociodemographic characteristics, modulators, and psychosocial risk factors.