Sentence examples for development of a predictive model from inspiring English sources

In a prospective study involving 8366 singleton pregnancies, Poon et al. investigated the role of uterine artery Doppler in the development of a predictive model for prediction of early preeclampsia.

The development of a predictive model capable of predicting the failure of two or more subsystems that occur simultaneously need to be explored in order to revoke the third limitation of the Markov model used by the RVS machine prognosis system.

The results permitted the development of a predictive model for the outputs of tube bundles and the optimum operating conditions.

Development of a predictive model allows in-silico screening of compounds in virtual libraries, i.e. before any compounds are actually made.

Finite element method was used to simulate the development of a predictive model of behavior of porous media during injection of particles.

As this control strategy requires the development of a predictive model, a multistep ahead predictor neural network (NN) model of the plant was used.

The objectives of this study were: (1) to assess the clinical and virological factors in a comprehensive manner in order to identify those that are associated with the development of HBV reactivation; and (2) to develop a predictive model to identify patients more likely to develop HBV reactivation.

Following the developments of a previous study, a predictive model is developed on the basis of an analytical kinetic scheme that takes into account important branching and condensation side reactions, resulting in a number of different functional end-groups on the produced macromolecules.

The AIDE system is extending the concept of information management from the use of rule based algorithms to the development of a dynamic predictive model conceived to take into account in a more extensive way driver's behaviour and profile, vehicle dynamics and driving context.

When risk factors for type 2 diabetes are present pretransplantation, the development of a pretransplant predictive model to identify patients at highest risk for NODAT will enable development of clinical interventions structured to reduce risk.

However, the complex mechanism of membrane bio-fouling hinders the development of a general predictive model, to be used for cost and life-cycle evaluations in conceptual design of new processes.