Sentence examples for use of predictive models from inspiring English sources

However, in most practical applications with limited sample sizes, use of predictive models depends on reliable model assessment.

An assessment requires the use of predictive models that involve numerous design and physical parameters as their inputs.

In this project, we needed open source software supporting the development, validation and use of predictive models using a wide variety of modeling techniques and fulfilling all requirements listed above.

The technologies used by this software (VM, web services, object-orient programming) as well as the software design itself, provide simple, efficient and elegant solutions to the main practical problems involved in the use of predictive models in production settings.

Research articles concerning the adoption of PA were collected and subdivided into two groups: (1) ex-post assessments that make use of utility-based models, and (2) ex-ante assessments that make use of predictive models.

Our work supports the use of predictive models and sensitivity maps in the decision-making process to locate high priority infrastructure-related wildlife protection areas at a large scale.

The New Zealand government believes that increasing use of predictive modelling techniques based on personal data from beneficiaries (incorporating data from child, youth and family payments, work and income, and the criminal justice system) will help it identify the most vulnerable in society and intervene at an earlier stage so they do not become long-term or lifetime beneficiaries.

The need to mitigate the effects of manufacturing variation already in design is nowadays commonly acknowledged and has led to a wide use of predictive modeling techniques, tolerancing approaches, etc. in industry.

The short-term effect of antihypertensive treatment on BP was extrapolated through the use of predictive modelling in order to estimate the long-term survival [ 12].

Pre-hospital interventions included the use of predictive modelling tools (PARR – Patients at risk of readmission and ACG – Adjusted Clinical Groups) sometimes supported by community matrons or virtual wards.

To the best of our knowledge, this is the first study investigating the association between health literacy and 30-day hospital readmission on a population level, albeit through the use of predictive modelling.