To determine if a combination of first and second trimester serum biomarkers (pregnancy-associated plasma protein A (PAPP-A), free βhCG, and maternal serum alpha-fetoprotein (msAFP)) may be utilized to develop a predictive model for adverse pregnancy outcomes.
With the modelling, the βs were utilized to develop a predictive model of the evolution for the patients.
We have further utilized this data to build a predictive model of TAP transport for peptides of any length, which can be applied to identify likely epitopes or their precursors.
We sought to develop a predictive model utilizing administrative data to accurately identify patients with COPD.
Utilizing every available descriptor that may produce a predictive model with a good correlation coefficient, makes the models difficult to interpret and do not stand up to external validation.
Via these constructed attribute features, a predictive model is learnt by training a classifier using annotated proteins, and then utilize this model to predict the functions of the proteins [ 2- 5].
A predictive model for laser turning process parameters is created using a feed-forward artificial neural network (ANN) technique utilized the experimental observation data based on response surface methodology (RS M.
The search engine then analyzes the results and develops a predictive model of what the database contains.
As a predictive model, this account was of limited value.
A Predictive Model can be a General or a Calibrated Predictive Model.
